نوع مقاله : مقاله پژوهشی

نویسندگان

1 کارشناس ارشد رشته مشاوره مدرسه، واحد خوراسگان، دانشگاه آزاد اسلامی، اصفهان، ایران.

2 استادیار گروه روا‌ن‌شناسی، واحد خوراسگان، دانشگاه آزاد اسلامی، اصفهان، ایران.

چکیده

هدف پژوهش، بررسی اثربخشی مداخله کارکردهای اجرایی ناگلیری بر مهارت‌های فراشناختی، حافظه فعال، فراحافظه و بارشناختی دانش‌آموزان 10 تا 12 ساله با اختلال ویژه یادگیری بود. این پژوهش به روش نیمه‌آزمایشی و با طرح پیش‌آزمون-پس‌آزمون به همراه دوره پیگیری 45 روزه و گروه گواه انجام شد. جامعه آماری شامل کلیه دانش‌آموزان 10 تا 12 ساله مبتلا به اختلال یادگیری در سال تحصیلی 1401-1400 شهرستان لردگان بود. از طریق نمونه‌گیری هدفمند، 40 دانش‌آموز انتخاب و به‌طور تصادفی در دو گروه آزمایش و کنترل (هرکدام 20 نفر) گمارده شدند. گروه آزمایش طی 15 جلسه آموزشی، مداخله کارکردهای اجرایی ناگلیری (2014) را دریافت کردند. ابزار پژوهش شامل مقیاس فراشناخت اسپرلینگ و همکاران (2001)، حافظه فعال دانیمن و کارپینتر (1980)، پرسشنامه چندعاملی حافظه تریوریچ (2002)، بار شناختی پاس و ون موئینبوئر (1993) و مقیاس هوش وکسلر کودکان، ویرایش پنجم (2014) بود. داده‌ها از طریق تحلیل واریانس با اندازه‌گیری مکرر مورد تحلیل قرار گرفت. نتایج نشان داد که بین دانش‌آموزان دارای اختلال یادگیری که جلسات آموزشی را گذرانده‌اند و گروه گواه، تفاوت معنی‌دار وجود دارد (0/001 = P). میزان این تفاوت در متغیرهای پژوهش در مرحله پس‌آزمون برابر با 998/0 و در مرحله پیگیری برابر با 977/0 است؛ به‌عبارت‌دیگر، 8/99 درصد از تفاوت‌های فردی در متغیرهای پژوهش شامل مهارت‌های فراشناختی، حافظه فعال، فراحافظه و بار شناختی در مرحله پس‌آزمون و 7/97 درصد در مرحله پیگیری مربوط به عضویت گروهی یا مداخله کارکردهای اجرایی ناگلیری است؛ بنابراین می‌توان نتیجه گرفت که مداخله کارکردهای اجرایی ناگلیری بر مهارت‌های فراشناختی، حافظه فعال، فراحافظه و بارشناختی دانش‌آموزان 10 تا 12 ساله دارای اختلال ویژه یادگیری تأثیر معناداری داشته و اثرات آن در طول زمان باقی مانده است. ازاین‌رو، پیشنهاد می‌شود که به‌منظور بهبود مهارت‌های فراشناختی، حافظه فعال، فراحافظه و بار شناختی دانش‌آموزان دارای اختلال ویژه یادگیری، روانشناسان و مشاوران از مداخلات درمانی کارکردهای اجرایی ناگلیری بهره‌برداری نمایند.

کلیدواژه‌ها

عنوان مقاله [English]

The Effectiveness of Nagliri Executive Functions Intervention on Metacognitive skills, Active Memory, Meta-Memory and Cognitive Load of 10 to 12 year Old Students with Special Learning Disabilities

نویسندگان [English]

  • Bahareh Mohammadi Massiri 1
  • mansoureh boahramipourisfahani 2

1 MA Student in Counseling, Khorasgan Branch, Islamic Azad University, Isfahan, Iran.

2 Assistant Professor, Department of Psychology, Khorasgan Branch, Islamic Azad University, Isfahan, Iran.

چکیده [English]

Abstract
The aim of the research was to assess the effectiveness of Naglieri's executive function intervention on the metacognitive skills, active memory, meta- memory, and cognitive load of students aged 10 to 12 with specific learning disabilities. The research method was quasi-experimental, employing a pre-test-post-test design with a 45-day follow-up period alongside a control group. The statistical population included all 10-12-year-old students with learning disabilities in the Lordegan county during the 2021-2022 academic year. Using purposive sampling, 40 students were selected and randomly assigned to experimental and control groups (20 in each group). The experimental group received 15 sessions of Naglieri's executive function intervention (2014). Research tools included the metacognitive scale by Sperling et al. (2001), active memory test by Daneman and Carpenter (1980), the Trivich multifactorial memory questionnaire (2002), the cognitive load assessment by Paas and Van Merriënboer (1993), and the fifth edition of the WISC-V (2014). Data were analyzed using repeated measures ANOVA. The results indicated that there was a significant difference between students with learning disabilities who attended the training sessions and the control group (P = 0.001). The amount of this difference in research variables in the post-test stage is equal to 0.998 and in the follow-up stage it is equal to 0.977. In other words, 99.8% of the individual differences in research variables including metacognitive skills, working memory, metamemory and cognitive load in the post-test stage and 97.7% in the follow-up stage are related to group membership or the intervention of executive functions of Nagliri.Therefore, it can be concluded that Naglieri's executive function intervention had a significant impact on the metacognitive skills, active memory, long-term memory, and cognitive load of 10 to 12-year-old students with specific learning disabilities, and its effects were sustained over time. As a result, it is recommended that psychologists and counselors utilize executive function intervention strategies to enhance the metacognitive skills, active memory, matamemory, and cognitive load of students with specific learning disabilities.
Keywords: Special Learning Disorder, Cognitive Load, Active Memory, Metamemory, Nagliri Executive Functions, Metacognitive Skills.
 
 
 
Extended Abstract

Introduction

Learning disability is a significant aspect of the field of education that pertains to the development of abilities such as listening, speaking, reading, writing, reasoning, and arithmetic, which encompass the domain of mathematics (Flitch & Lyon, 2018). Amiri (2014) pointed out that learning disabilities can lead to academic struggles, thereby adversely impacting metacognitive skills. Metacognitive skills refer to higher-order knowledge or processes associated with the evaluation, monitoring, and control of one's own cognitive functions (Brintus & Valenzola). Research by Pass and Van Merinb (2020) has demonstrated that children with learning disabilities often exhibit memory and learning difficulties. Shvandi and Khalili (1399) have reported that the performance of extensive conservation among children with learning disabilities is generally low. Research conducted by Zhou and Ioost (2022) and Ziara (2022) confirmed a significant correlation between cognitive functions and learning. In other words, the variable of cognitive load involves the duration of processing information within active or short-term memory before encoding it for subsequent storage in long-term memory (Zhou & io Dost, 2022). In the context of psychological research, executive functions represent a set of cognitive capabilities that are crucial for the management, monitoring, and regulation of lower-level cognitive processes in order to achieve effective information processing during task execution (Gordon & Todder, 2020). Executive functions play a significant role in enhancing the ability to switch tasks (known as task-switching), updating memory, inhibiting irrelevant information, multitasking, and maintaining attention (Enricois-Gpert, Heroter & Herman, 2013).
Research Question(s)
The primary objective of the present study is to investigate whether the inclusion of the executive functions of the Naglieri assessment has a positive impact on the metacognitive skills, active memory, long-term memory, and cognitive load of 10- to 12-year-old students with learning disorders.

Literature Review

The literature review for this research is based on the following key references:

Metacognition Scale for Children, developed by Sperling, Howard and Miller (2002), is designed for children aged 8 to 12 years old.
The Cognitive Load Assessment tool, formulated by Paas and Van Merinbuer (1994).
Active Memory Test by Daniman and Carpenter (1980).
Multi-Factor Memory Questionnaire by Terrier and Rich (2002).
Children's Intelligence Scale 5th edition (WISC-V).


Methodology

The research methodology employed in this study was of a quasi-experimental design with a pretest-intervention-retest and follow-up phase lasting 45 days, featuring a control group.

Results

The findings of the study revealed a significant difference between students with learning disorders who participated in the training sessions and those in the control group (p = 0.001). Furthermore, the discrepancies in the research variables between the pre-test stage and the first follow-up phase amounted to 0.998, while the second follow-up phase showed a slight decrease to 0.977. This indicates that, for both the intervention group and the control group, 99.8% and 97.7% of the individual differences in the respective research variables – such as metacognitive skills, active memory, long-term memory, and cognitive load – showed noticeable improvements during the first and second follow-up phases, respectively.
Tablae1. Overall Results of Multi-Variable Analysis Analysis Analysis




Steps


Group effects


Value


F


The degree of freedom of hypothesis


The degree of freedom of error


Significant level


The amount
Impact


Power
Statistics






After the test


Pillai's Trace


0/998


3196/73


4


31


0/001


0/998


1/000




Wilks' Lambda


0/002


3196/73


4


31


0/001


0/998


1/000




Hotelling's Trace


412/48


3196/73


4


31


0/001


0/998


1/000




.Roy's Laragest Root
 


412/48


3196/73


4


31


0/001


0/998


1/000




followup


Pillai's Trace


0/977


322/369


4


31


0/001


0/997


1/000




Wilks' Lambda


0/023


322/369


4


31


0/001


0/997


1/000




Hotelling's Trace


41/72


322/369


4


31


0/001


0/997


1/000




.Roy's Laragest Root
 


41/72


322/369


4


31


0/001


0/997


1/000





Discussion

The research findings are in line with the positive effects of Naglieri's executive function intervention on metacognitive skills, corroborating previous studies by Kubota et al. (2023) and Khodari et al. (2022). According to the aforementioned account, it can be asserted that instructing students on specific abilities such as maintaining composure, thoughtfully considering their responses, observing turn-taking norms, exhibiting patience, actively focusing on diverse contextual elements, being responsible and vigilant, paying heed to visual cues, employing visualization techniques, refining perception, allocating one's attention, engaging in organized game activities, attentively listening to others, adhering to guidelines, structuring tasks, and continuously exercising mental awareness can lead to the improvement of response control in these students.
Interventions targeting the improvement of executive functions have been found to augment brain activity in the prefrontal cortex (Sardari, 2014). As evidenced by Effendi (2017), enhanced executive functioning correlates with heightened cognitive abilities, which subsequently leads to an enhancement in learning capabilities within the domain of metacognitive skills. The findings of the current study corroborate the positive impact of Naglieri's executive function intervention on active memory, consistent with the outcomes reported by previous researchers, such as those reported by liberation, nia and Rezao (2022) and Narimani et al. (2012). Based on the presented findings, it can be asserted that the teaching of executive functions plays a crucial role in the management and direction of academic behavior and success (Buck, 2014) as it equips students with the ability to initiate and complete tasks while persevering through challenges (Divin, 2014). By honing executive function skills, students can significantly bolster their active memory performance by employing techniques such as chunking, or breaking down larger information blocks into more manageable units. This process occurs through targeted practice and repetition, thereby transforming information processing into an automatic and efficient routine (liberation, nia & Rezao, 2022).
The current research findings are congruent with the positive effects of Naglieri's executive function intervention on long-term memory, aligning with earlier studies conducted by Mouti and Omar (2020) and Shvandi and Khalili (2019). According to these findings, the dominance of certain executive functions, such as attention, language, spatial processing, and memory, is essential in explaining these outcomes. These skills are developed through experience, education, and learning, and the training of executive functions, with their impact on brain hemisphere activity, enhances cognitive performance. This relationship implies that cognitive executive functions act as a necessary resource for active memory utilization in specific educational activities or learning tasks, and according to the underlying theory, learning can be negatively impacted when the active memory capacity is not sufficient to support effective task completion. The cognitive theory contends that numerous conventional educational methods overlook the limitations of human cognition by placing undue burden on the learner's active memory. To rectify this, the theory advocates for the careful selection of educational methods, taking into account active memory constraints and emphasizing the necessity of aligning educational techniques with foundational principles of the human cognitive system (Gharbi et al., 2010).

Conclusion

Given the findings of this research, it is recommended that psychologists and counselors should integrate executive function intervention methods as a means to improve the metacognitive skills, active memory, long-term memory, and cognitive load of students with specific learning disabilities.
Conflict of interest
In the conduct of this study, there was no conflict of interest. The researcher would like to express gratitude to all the 10-12-year-old students with learning disorders from Lordegan County who contributed to the research.
Abstract
The aim of the research was to assess the effectiveness of Naglieri's executive function intervention on the metacognitive skills, active memory, meta- memory, and cognitive load of students aged 10 to 12 with specific learning disabilities. The research method was quasi-experimental, employing a pre-test-post-test design with a 45-day follow-up period alongside a control group. The statistical population included all 10-12-year-old students with learning disabilities in the Lordegan county during the 2021-2022 academic year. Using purposive sampling, 40 students were selected and randomly assigned to experimental and control groups (20 in each group). The experimental group received 15 sessions of Naglieri's executive function intervention (2014). Research tools included the metacognitive scale by Sperling et al. (2001), active memory test by Daneman and Carpenter (1980), the Trivich multifactorial memory questionnaire (2002), the cognitive load assessment by Paas and Van Merriënboer (1993), and the fifth edition of the WISC-V (2014). Data were analyzed using repeated measures ANOVA. The results indicated that there was a significant difference between students with learning disabilities who attended the training sessions and the control group (P = 0.001). The amount of this difference in research variables in the post-test stage is equal to 0.998 and in the follow-up stage it is equal to 0.977. In other words, 99.8% of the individual differences in research variables including metacognitive skills, working memory, metamemory and cognitive load in the post-test stage and 97.7% in the follow-up stage are related to group membership or the intervention of executive functions of Nagliri.Therefore, it can be concluded that Naglieri's executive function intervention had a significant impact on the metacognitive skills, active memory, long-term memory, and cognitive load of 10 to 12-year-old students with specific learning disabilities, and its effects were sustained over time. As a result, it is recommended that psychologists and counselors utilize executive function intervention strategies to enhance the metacognitive skills, active memory, matamemory, and cognitive load of students with specific learning disabilities.
Keywords: Special Learning Disorder, Cognitive Load, Active Memory, Metamemory, Nagliri Executive Functions, Metacognitive Skills.
 
 
 
Extended Abstract

Introduction

Learning disability is a significant aspect of the field of education that pertains to the development of abilities such as listening, speaking, reading, writing, reasoning, and arithmetic, which encompass the domain of mathematics (Flitch & Lyon, 2018). Amiri (2014) pointed out that learning disabilities can lead to academic struggles, thereby adversely impacting metacognitive skills. Metacognitive skills refer to higher-order knowledge or processes associated with the evaluation, monitoring, and control of one's own cognitive functions (Brintus & Valenzola). Research by Pass and Van Merinb (2020) has demonstrated that children with learning disabilities often exhibit memory and learning difficulties. Shvandi and Khalili (1399) have reported that the performance of extensive conservation among children with learning disabilities is generally low. Research conducted by Zhou and Ioost (2022) and Ziara (2022) confirmed a significant correlation between cognitive functions and learning. In other words, the variable of cognitive load involves the duration of processing information within active or short-term memory before encoding it for subsequent storage in long-term memory (Zhou & io Dost, 2022). In the context of psychological research, executive functions represent a set of cognitive capabilities that are crucial for the management, monitoring, and regulation of lower-level cognitive processes in order to achieve effective information processing during task execution (Gordon & Todder, 2020). Executive functions play a significant role in enhancing the ability to switch tasks (known as task-switching), updating memory, inhibiting irrelevant information, multitasking, and maintaining attention (Enricois-Gpert, Heroter & Herman, 2013).
Research Question(s)
The primary objective of the present study is to investigate whether the inclusion of the executive functions of the Naglieri assessment has a positive impact on the metacognitive skills, active memory, long-term memory, and cognitive load of 10- to 12-year-old students with learning disorders.

Literature Review

The literature review for this research is based on the following key references:

Metacognition Scale for Children, developed by Sperling, Howard and Miller (2002), is designed for children aged 8 to 12 years old.
The Cognitive Load Assessment tool, formulated by Paas and Van Merinbuer (1994).
Active Memory Test by Daniman and Carpenter (1980).
Multi-Factor Memory Questionnaire by Terrier and Rich (2002).
Children's Intelligence Scale 5th edition (WISC-V).


Methodology

The research methodology employed in this study was of a quasi-experimental design with a pretest-intervention-retest and follow-up phase lasting 45 days, featuring a control group.

Results

The findings of the study revealed a significant difference between students with learning disorders who participated in the training sessions and those in the control group (p = 0.001). Furthermore, the discrepancies in the research variables between the pre-test stage and the first follow-up phase amounted to 0.998, while the second follow-up phase showed a slight decrease to 0.977. This indicates that, for both the intervention group and the control group, 99.8% and 97.7% of the individual differences in the respective research variables – such as metacognitive skills, active memory, long-term memory, and cognitive load – showed noticeable improvements during the first and second follow-up phases, respectively.
Tablae1. Overall Results of Multi-Variable Analysis Analysis Analysis




Steps


Group effects


Value


F


The degree of freedom of hypothesis


The degree of freedom of error


Significant level


The amount
Impact


Power
Statistics






After the test


Pillai's Trace


0/998


3196/73


4


31


0/001


0/998


1/000




Wilks' Lambda


0/002


3196/73


4


31


0/001


0/998


1/000




Hotelling's Trace


412/48


3196/73


4


31


0/001


0/998


1/000




.Roy's Laragest Root
 


412/48


3196/73


4


31


0/001


0/998


1/000




followup


Pillai's Trace


0/977


322/369


4


31


0/001


0/997


1/000




Wilks' Lambda


0/023


322/369


4


31


0/001


0/997


1/000




Hotelling's Trace


41/72


322/369


4


31


0/001


0/997


1/000




.Roy's Laragest Root
 


41/72


322/369


4


31


0/001


0/997


1/000





Discussion

The research findings are in line with the positive effects of Naglieri's executive function intervention on metacognitive skills, corroborating previous studies by Kubota et al. (2023) and Khodari et al. (2022). According to the aforementioned account, it can be asserted that instructing students on specific abilities such as maintaining composure, thoughtfully considering their responses, observing turn-taking norms, exhibiting patience, actively focusing on diverse contextual elements, being responsible and vigilant, paying heed to visual cues, employing visualization techniques, refining perception, allocating one's attention, engaging in organized game activities, attentively listening to others, adhering to guidelines, structuring tasks, and continuously exercising mental awareness can lead to the improvement of response control in these students.
Interventions targeting the improvement of executive functions have been found to augment brain activity in the prefrontal cortex (Sardari, 2014). As evidenced by Effendi (2017), enhanced executive functioning correlates with heightened cognitive abilities, which subsequently leads to an enhancement in learning capabilities within the domain of metacognitive skills. The findings of the current study corroborate the positive impact of Naglieri's executive function intervention on active memory, consistent with the outcomes reported by previous researchers, such as those reported by liberation, nia and Rezao (2022) and Narimani et al. (2012). Based on the presented findings, it can be asserted that the teaching of executive functions plays a crucial role in the management and direction of academic behavior and success (Buck, 2014) as it equips students with the ability to initiate and complete tasks while persevering through challenges (Divin, 2014). By honing executive function skills, students can significantly bolster their active memory performance by employing techniques such as chunking, or breaking down larger information blocks into more manageable units. This process occurs through targeted practice and repetition, thereby transforming information processing into an automatic and efficient routine (liberation, nia & Rezao, 2022).
The current research findings are congruent with the positive effects of Naglieri's executive function intervention on long-term memory, aligning with earlier studies conducted by Mouti and Omar (2020) and Shvandi and Khalili (2019). According to these findings, the dominance of certain executive functions, such as attention, language, spatial processing, and memory, is essential in explaining these outcomes. These skills are developed through experience, education, and learning, and the training of executive functions, with their impact on brain hemisphere activity, enhances cognitive performance. This relationship implies that cognitive executive functions act as a necessary resource for active memory utilization in specific educational activities or learning tasks, and according to the underlying theory, learning can be negatively impacted when the active memory capacity is not sufficient to support effective task completion. The cognitive theory contends that numerous conventional educational methods overlook the limitations of human cognition by placing undue burden on the learner's active memory. To rectify this, the theory advocates for the careful selection of educational methods, taking into account active memory constraints and emphasizing the necessity of aligning educational techniques with foundational principles of the human cognitive system (Gharbi et al., 2010).

Conclusion

Given the findings of this research, it is recommended that psychologists and counselors should integrate executive function intervention methods as a means to improve the metacognitive skills, active memory, long-term memory, and cognitive load of students with specific learning disabilities.
Conflict of interest
In the conduct of this study, there was no conflict of interest. The researcher would like to express gratitude to all the 10-12-year-old students with learning disorders from Lordegan County who contributed to the research.

کلیدواژه‌ها [English]

  • Special Learning Disorder
  • Cognitive Load
  • Active Memory
  • Metamemory
  • Nagliri Executive Functions
  • Metacognitive Skills.  
منابع
احدی، فاطمه؛ سلیمانی، محسن. (1393). مقایسه تأثیر دو روش تدریس به شیوه ارائه مثال آموزشی حل‌شده کامل و ارائه مثال به شیوه حل‌شده ناقص بر بار شناختی دانشجویان در درس زبان تخصصی پزشکی. مجله ایرانی آموزش در علوم پزشکی،4(14)، 291-302.
امیری، محسن؛ کرمی، جهانگیر؛ مؤمنی، خدامراد. (1400). تأثیر ورزش مغزی بر سرکوبی نسبت امواج تتا برآلفا و حافظه‌ی فعال کودکان 8 تا 12 ساله‌ی دارای مشکل خواندن و مشکل نوشتن. فصلنامه روانشناسی شناختی، (3)9، 92-101.
باقرپور، ناهیده؛ حبیبی کلیبر، رامین؛ مصرآبادی، جواد. (1398). اثربخشی آموزش کارکردهای اجرایی عصب- روان‌شناختی بر فراحافظه، برنامه‌ریزی و حل مسئله دانش‌آموزان با اختلال ریاضی. فصلنامه روانشناسی شناختی، ۷ (۴)، ۶۳-۷۹
خدایاری، فاطمه؛ جمال زهی، فاطمه؛ جوکار، طاهره. (1402). نقش آموزشی کارکردهای اجرایی در شناخت و فراشناخت در یادگیری، هشتمین همایش ملی پژوهش‌های نوین در حوزه علوم تربیتی و روانشناسی ایران، تهران. https://civilica.com/doc/1984950/
خسروتاش، پریسا؛ ابوالمعالی الحسینی، خدیجه؛ هاشمیان، کیانوش. (1396). مقایسه اثربخشی آموزش کارکردهای اجرایی و آموزش اجتماعی -هیجانی بر بهبود عملکرد توجه مداوم در دانشآموزان با اختلال ریاضی. فصلنامه روانشناسی افراد استثنایی، 7(27)، 79-113.
رحمانیان. زاهده، واعظ موسوی، سید محمدکاظم (1393). ویژگی‌های روان‌سنجی پرسشنامه فراشناخت و فراهیجان مثبت در ورزشکاران. مجله روانشناسی و روان‌پزشکی شناخت، 1(3)،44-62.
رحیمی، مهدی؛ دربیدی، مرجان. (1397). نقش واسطه‌ای درگیری شناختی در تأثیر ابعاد فراحافظه بر اضطراب امتحان دانشجویان . رویکردهای نوین آموزشی،13 (2)، 21-37.
رضازاده شرمه. محمدرضا؛ هاشمی، سهیلا. (1399). مقایسة تأثیر روش‌های آموزش مبتنی بر نظریه بار شناختی، چندرسانه‌ای و سخنرانی بر یادگیری درس علوم دانش‌آموزان. فصلنامه علمی پژوهش در یادگیری آموزشگاهی و مجازی، 8(2)، 93-103.
سرداری، باقری. (1400). نقش واسطه‌ای فراشناخت بین کارکردهای اجرایی و یادگیری خودتنظیم در دانش‌آموزان. فصلنامه آموزش و ارزشیابی، 14(53)، 133-157.
شیوندی، کامران؛ خلیلی، فروغ. (1399). مقایسه اثربخشی آموزش یادگیری مغزمحور و آموزش کارکردهای اجرایی بر عملکرد فراحافظه کودکان مبتلا اختلالات یادگیری خاصفصلنامه روان‌شناسی تربیتی،16(56)،257-280
شیخ‌الاسلامی، علی؛ بخشایش، علیرضا؛ برزگربفرویی، کاظم؛ مردای‏ عجمی، وجیهه. (1396). تأثیر آموزش حافظه‏ی فعال بر عملکرد خواندن و ظرفیت حافظه در دانشآموزان دارای ناتوانی خواندن. روان‌شناسی بالینی، 9(2)، 47-58.
شیوندی، کامران؛ خلیلی، فروغ. (1399). مقایسه اثربخشی آموزش یادگیری مغزمحور و آموزش کارکردهای اجرایی بر عملکرد فراحافظه کودکان مبتلا اختلالات یادگیری خاص. فصلنامه علمی روانشناسی تربیتی، 16(56)، 257-280.
صیادی، صادق. (1397). بررسی نظریه بار شناختی و اثرات مرتبط با آن در طراحی آموزشی. دهمین همایش ملی آموزش، تهران.
غریبی، فرزانه؛ ناطقی، فائزه؛ موسوی پور، سعید؛ سیفی، محمد. (1399). تأثیر آموزش به روش واقعیت افزوده بر یادگیری، یادداری و بار شناختی در درس زیست‌شناسی. فصلنامه توسعه آموزش جندی‌شاپور اهواز، 11(1)، 167-183.
فتحی آشتیانی، مینا؛ اخوان تفتی، مهناز؛ خادمی، ملوک. (1395). اثربخشی آموزش شناختی بر سرعت پردازش و حافظه کاری کودکان مبتلا به ناتوانیهای یادگیری، فصلنامه تربیتی روانشناسی، 12(41)، 125-142.
کرمی، ابوالفضل. (1396). مقیاس هوش وکسلر کودکان ویرایش پنجم (WISC-V.) تهران: روان‌سنجی.
کریمی، فرهاد؛ سالاری فر، محمدحسین؛ صالحی، منصور، منصور؛ شادمانی، پروانه. (1400). مقایسه دانش فراشناختی دانشآموزان قوی و ضعیف در حل مسئله. فصلنامه خانواده و پژوهش، 17(4)، 11-26.
کلانتر قریشی، منیر؛ برجعلی، احمد؛ زامیاد، درتاج، فریبرز. (1391). اثربخشی آموزش و تمرین‌های تن‌آرامی ‌بر اضطراب و ظرفیت حافظه کاریمطالعات روان‌شناسی بالینی،2(6)، 65-88.
گلداشتاین، سام؛ ناگلیری، جک. (2014). کارکردهای اجرایی مداخلات درمانی، ترجمه سعید حسن‌زاده، زهرا عباسیان نیک (1399)، تهران: انتشارات ارجمند.
نریمانی، محمد؛ سلیمانی، اسماعیل؛ زاهد بابلان، عادل؛ ابوالقاسمی، عباس. (1391). اثربخشی آموزش کارکردهای اجرایی (سطوح حافظه کاری: فراشناخت، برنامه‌ریزی) در بهبود حافظه کاری، نگهداری توجه، توانایی برنامه‌ریزی، حل مسئله و پیشرفت تحصیلی دانش‌آموزان ناتوان در ریاضیمطالعات آموزشی و آموزشگاهی.1(3)، 31-32
ولایتی، الهه، نیلی احمدآبادی، محمدرضا، زارعی زوارکی، اسماعیل، شریفی درآمدی، پرویز و سعدی پور، اسماعیل. (1397). طراحی الگوی آموزشی مبتنی بر نظریه‌ی بار شناختی بر اساس تحلیل محتوای کیفی و اعتباریابی درونی و بیرونی آن. روان‌شناسی تربیتی (روانشناسی و علوم تربیتی)، 14(49)، 1-27.
References
Ahadi, F., Soleimani, M. (2014). Comparison of the effect of two teaching methods in the way of presenting fully solved educational examples and presenting incompletely solved examples on the cognitive load of students in the specialized medical language course. Iranian Journal of Education in Medical Sciences, 4(14), 291-302. [In Persian]
Amiri, M., Karmi, J., Momeni, Kh. (2021). The effect of brain exercise on suppression of theta-braalpha and working memory in 8-12-year-old children with reading and writing difficulties. Cognitive Psychology Quarterly, (3)9, 92-101. [In Persian]
Averett,KH. (2021). Remote Learning, COVID-19, and Children With Disabilities. AERA Open. DOI:10.1177/23328584211058471.
Bagerpour N, Habibi-Kaleybar1 R, mESRABADI J. (2020)investigate the effect of instruction neuro-psychological executive functions on programming meta-memory and problem solving in students with mathematical disorders. CPJ 2020; 7 (4):63-79[In Persian]
BagerpourEstiar, N., HabibiKaleybar, R., Mesrabadi, J. (2020). The Effectiveness of Training Neuropsychological Executive Functions on Metamemory, Planning and Problem Solving among Students with Mathematics Disorder. Journal of Cognitive Psychology, 7(4), 63-79.
Barrientos, MS., Valenzuela, P., Hojman, V.,and Reyes, G (2022). Students With High Metacognition Are Favourable Towards Individualism When Anxious. Front. Psychol. 13:910132. DOI: 10.3389/fpsyg.2022.910132
Bishara, S. (2022). Linking cognitive load, mindfulness, and self-efficacy in college students with and without learning disabilities. European Journal of Special Needs Education, 37(3), 494-510. https://www.tandfonline.com/doi/abs/10.1080/08856257.2021.1911521.
Bock, A. M.; Gallaway, K. C. & Hund, A. M. (2014). “Specifying links between executive functioning and theory of mind during middle childhood: Cognitive flexibility predicts social understanding”. Journal of Cognition and Development, 16(3). DOI:10.1080/15248372.2014.888350
Braad, E., Degens, N., Barendregt, W. et al(2022). Improving metacognition through self-explication in a digital self-regulated learning tool. Education Tech Research Dev . DOI:10.1007/s11423-022-10156-2
Budde, H., Voelcker-Rehage, C., Pietraßyk- Kendziorra,S., Ribeiro, P., Tidow,G. (2017). Acute coordinative exercise improves attentional performance in adolescents. Neurosci Lett. 441 (2), 219-23 hDOI:10.1016/j.neulet.2008.06.024
Buttelman, D. (2016). “The development of the explicit understanding of own versus others’ beliefs and intentions”. Manuscript in preparation.
Cataudella, S., Carta, S., Mascia, ML., Masala, C., Petretto, DR &Penna, MP (2021). Psychological Aspects of Students With Learning Disabilities in E-Environments: A Mini Review and Future Research Directions. Front. Psychol. 11:611818. DOI: 10.3389/fpsyg.2020.611818
Chen, H,. Yang,J. (2020). Multiple Exposures Enhance Both Item Memory and Contextual Memory Over Time. Front. Psychol. 11:565169. DOI:10.3389/fpsyg.2020.565169
Daneman, M, Carpenter, PA. (1980). Individual differences in working memory and reading, Journal of Verbal Learning and Verbal Behavior ,19 (4), 450–466.
Devine, R. T. & Hughes, C. (2014). “Relations between false belief understanding and executive function in early childhood: A meta-analysis”. Child Development, 85, 1777–1794. DOI: 10.1111/cdev.12237
Diamond, A. (2013). “Executive functions”. Annual review of psychology, 64, 135- 168.
Effendi, A. (2017). Implementation of creative problem solving Model to Improve the High School Student’s Metacognitive IOP Conf. Series: Journal of Physics: Conf. 42-50. DOI:10.1088/1742-6596/812/1/012065
Enriquez-Geppert, S., Huster, R. J., & Herrmann, C. S. (2013). Boosting brain functions: Improving executive functions with behavioral training, neurostimulation, and neurofeedback. International Journal of Psychophysiology, 88(1), 1-16. DOI: 10.1016/j.ijpsycho.2013.02.001
Fathi Ashtiani, M., Akhwan Tafti, M., Khademi, M. (2016). The effectiveness of cognitive training on the speed of processing and working memory of children to Nai-hai, Educational Psychology Quarterly, 12(41), 125-142. [In Persian]
Fletcher, J., Lyon, GR., Fuchs, L, Barnes, MA. (2018). Learning disabilities: from identification to intervention. New York: The Guilford Press.
Forsberg, A., Guitard, D., Greene, N. R., Naveh-Benjamin, M., & Cowan, N. (2022). The proportion of working memory items recoverable from long-term memory remains fixed despite adult aging. Psychology and Aging, 37(7), 777–786. DOI:10.1037/pag0000703
García-Madruga, J. A., Gómez-Veiga, I., Vila, J. Ó. (2016). “Executive functions and the improvement of thinking abilities: The intervention in reading comprehension”. Frontiers in psychology, 7 (58), 1-15. DOI:10.22084/j.psychogy.2020.20529.2064
Gharibi, F., Natagi, F., Mousavipour, S., Seifi, M. (2020). The effect of teaching using the augmented method on memorability and cognitive load in the biology course. Jundishapur Ahvaz Education Development Quarterly, 11(1), 167-183. [In Persian]
Godfrey, M., Casnar, C., Stolz, E., Ailion, A., Moore, T., & Gioia, G. (2023). A review of procedural and declarative metamemory development across childhood. Child Neuropsychology29(2), 183-212.
Goldstein, S., & Nagleri, J. (2014). Executive functions of therapeutic interventions, translated by Saeed. Hassanzadeh, Zahra Abbasian Nik (2020), Tehran: Arjmand Publications. [In Persian]
Gordon, S., Todder, D., Deutsch, I., Garbi, D., Alkobi, O., Shriki, O & Meiran, N. (2020). Effects of neurofeedback and working memory-combined training on executive functions in healthy young adults. Psychological research, 84(6), 1586-1609. DOI: 10.1007/s00426-019-01170-w
Grigorenko, EL., Compton, DL., Fuchs, L.S., Wagner, R.K., Willcutt, E.G, Fletcher, J.M. (2019).Understanding, educating, and supporting children with specific learning disabilities: 50 years of science and practice. Am Psychol. 2020 Jan;75(1):37-51.DOI:10.1037/amp0000452.
Grover, S., Wen, W., Viswanathan, V. et al. (2022). Long-lasting, dissociable improvements in working memory and long-term memory in older adults with repetitive neuromodulation. Nat Neurosci 25, 1237–1246 DOI:10.1038/s41593-022-01132-3
Kalantar Qureshi, M., Barjali, A., Zamiad, D. F. (2011). The effectiveness of training and relaxation exercises on anxiety and working memory capacity. Clinical Psychology Studies, 2(6), 65-88. [In Persian]
Karimi, F., Salarifar, M. H., Salehi, M., Shadmani, P. (2021). Comparison of metacognitive knowledge of strong and weak students in problem solving. Family and Research Quarterly, 17(4), 11-26. [In Persian]
Kerami, A. (2017). Wechsler intelligence for children, fifth edition (WISC-V). Tehran: Psychometrics. [In Persian]
Khosrotash, P., Abolmaali Alhoseni, Kh., Hashmian, K. (2017). Comparing the effectiveness of executive functions training and social-emotional training on improving attention performance in students with math disorders. Quarterly Journal of Psychology of Exceptional People, 7(27), 79-113. [In Persian]
Knouse, L. E., Anastopoulos, A. D., Dunlosky, J. (2012). Isolating metamemory deficits in the self-regulated learning of adults with ADHD. Journal of Attention Disorders, 16(8), 650-660.
Kirk HE., Gray.,k.Ribt., DM.comish., kM(2015). Cognitive training as resoulation for early executive function difficulties in children with intellectual disability.reassch in development disabilities.,1(38): 45-60
Kubota M, Hadley LV, Schaeffner S, Könen T, Meaney JA, Morey CC, Auyeung B, Moriguchi Y, Karbach J, Chevalier N. (2023).The effect of metacognitive executive function training on children's executive function, proactive control, and academic skills. Dev Psychol. 2023 Nov;59(11):2002-2020. doi: 10.1037/dev0001626. Epub Oct 12. PMID: 37824229.
Maaytah, T., Omar, R. (2022). Cognitive Style (risk-caution) and its Relationship to Meta-memory Skills among Secondary School Students in the District of South Hebron. memory, 5(3). DOI: 10.1016/j.ridd.2014.12.026
Maehler, C., & Schuchardt, K. (2016). Working memory in children with specific learning disorders and/or attention deficits. Learning and individual differences, 49, 341-347. DOI:10.1016/j.lindif.2016.05.007
Martínez-Briones, B. J., Fernández-Harmony, T., Garófalo Gómez, N., Biscay-Lirio, R. J., & Bosch-Bayard, J. (2020). Working memory in children with learning disorders: An EEG power spectrum analysis. Brain Sciences, 10(11), 817. DOI: 10.3390/brainsci10110817
Mc Closkey, G., Perkins, L., & Divner, B. (2009). Assessment and Intervention for Executive Function Difficulties. New York: Routledge Press.
Nicolielo-Carrilho, A. P., & Hage, S. R. D. V. (2017). Metacognitive reading strategies of children with learning disabilities. In CoDAS (Vol. 29). Sociedade Brasileira de Fonoaudiologia.
Paas, F. G., Van Merriënboer, J. J., & Adam, J. J. (1994). Measurement of cognitive load in instructional research. Perceptual and motor skills79(1), 419-430. DOI: 10.2466/pms.1994.79.1.419
Paas, F., & van Merriënboer, J. J. (2020). Cognitive-load theory: Methods to manage workingmemory load in the learning of complex tasks. Current Directions in Psychological Science, 29 (4), 394-398.
Peng, P., & Fuchs, D. (2016). A meta-analysis of working memory deficits in children with learning difficulties: Is there a difference between verbal domain and numerical domain?. Journal of learning disabilities, 49(1), 3-20. DOI: 10.1177/0022219414521667
Rahaei, A., Taghvaeinia, A., & Rezaeo, R. (2022). The Effectiveness of the Training based on Executive Functions on Student's Working Memory. Iranian Journal of Learning & Memory, 4(16), 7-14. https://dorl.net/dor/20.1001.1.26455447.2022.5.18.9.6
Rahimi, M., Darbidi, M. (2018). The mediating role of cognition in the effect of extra memory on students' exam exercise. New educational methods, 13 (2), 21-37. [In Persian]
Rahmanian, Z., Vaez Mousavi, M. K. (2014). Psychometric characteristics of metacognition and positive meta-excitement questionnaire in athletes. Journal of Cognitive Psychology and Psychiatry, 1(3), 44-62. [In Persian]
Rapport, M. D., Orban, S. A., Kofler, M. J., & Friedman, L. M. (2013). Do programs designed to train working memory, other executive functions, and attention benefit children with ADHD? A meta-analytic review of cognitive, academic, and behavioral outcomes. Clinical Psychology Review, 33(8), 1237-1252.  DOI: 10.1016/j.cpr.2013.08.005
Rezazadeh Sharmeh, M. R., Hashemi, S. (2020). Comparison of the effect of teaching methods based on cognitive load theory, multimedia and lectures on students' science lessons. Educational and Virtual Scientific Research Quarterly, 8(2), 93-103. [In Persian]
Sardari, B. (2021). The role of mediators between executive functions and self-regulation in students. Education and Evaluation Quarterly, 14(53), 133-157. [In Persian]
Sayadi, S. (2018). Studying the cognitive theory of design and related to it in education. 10th National Education Conference, Tehran. [In Persian]
Schwartz, B.L., & Metcalfe, J. (2017) Metamemory: an update of critical findings. Learning and memory: a comprehensive reference, 2 nd Ed, United States: Academic Press
Sheikh-Al-Islami, A., Bakshaish, A., Barzgarbfaroui, K., Mardai Ajami, W. (2017). The effect of working memory training on performance and storage memory in students with reading disabilities. Clinical Psychology, 9(2), 47-58. [In Persian]
Shivandi, K., Khalili, F. (2020). Comparing the effectiveness of brain-based training and executive functions training on metamemory performance of children with special disorders. Educational Psychology Quarterly, 16(56), 257-280. [In Persian]
Shuai, L., Wang, Y., Li, W., Wilson, A., Wang, S., Chen, R., & Zhang, J. (2020). Executive Function Training for Preschool Children With ADHD: A Randomized Controlled Trial. Journal of Attention Disorders, 1087054720956723. DOI: 10.1177/1087054720956723
Sperling, R., Howard, L., Miller, L. & Murphy, C. (2002). Measures of children´s knowledge and regulation of cognition. Contemporary Educational Psychology, 27, (2),51-79. DOI:10.1006/ceps.2001.1091
Stanford, E., & Delage, H. (2020). Complex syntax and working memory in children with specific learning difficulties. First language, 40(4), 411-436. DOI:10.1093/geronb/57.1.P19
Troyer, A. K., Rich, J.B. (2002). Psychometric properties of a new metamemory questionnaire for older adults. Journal of Gerontology: psychological sciences, 57B (1), 19-27. DOI:10.1093/geronb/57.1.P19
Velayati, Elaha, Nili Ahmedabadi, Mohammad Reza, Zarei Zwarki, Ismail, Sharifi Amadadi, Parviz, and Saadipour, Ismail. (2017). Designing an educational model based on cognitive load theory based on qualitative content analysis and its internal and external validation. Educational Psychology (Psychology and Educational Sciences), 14(49), 1-27. [In Persian]
Viana-Sáenz, L., Sastre-Riba, S., & Urraca-Martínez, M. L. (2021). Executive function and metacognition: Relations and measure on high intellectual ability and typical schoolchildren. Sustainability13(23), 13083.
Watson, S. M., Gable, R. A., & Morin, L. L. (2016). The role of executive functions in classroom instruction of students with learning disabilities. International Journal of School and Cognitive Psychology, 3(167). DOI:10.4172/2469-9837.1000167
Zhu, X., Aryadoust, V. (2022). A Synthetic Review of Cognitive Load in Distance Interpreting: Toward an Explanatory Model. Front. Psychol. 13:899718. DOI: 10.3389/fpsyg.2022.899718