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Jefri Setyawan; Jitu Halomoan Lumbantoruan; Hanida Listiani; Loso Judijanto – Elementary School Forum (Mimbar Sekolah Dasar), 2024
Education in Indonesia is experiencing a transformation through the integration of multiple intelligence theories in the curriculum to optimize student potential. The problem is the need to develop students' potential holistically to prepare them to face the demands of future society. The urgency lies in the need for inclusive and diverse…
Descriptors: Foreign Countries, Multiple Intelligences, Student Development, Inclusion
Du, Jiahui; Hew, Khe Foon Timothy – Journal of Research on Technology in Education, 2022
Self-regulated learning (SRL) plays a significant role in promoting academic success in online education. In recent years, attention has focused on using new techniques to promote SRL--one of which is the recommender system. However, there has been little discussion of the actual effects of using recommender systems to facilitate SRL skills among…
Descriptors: Independent Study, Electronic Learning, Artificial Intelligence, Information Technology
Guterman, Oz; Neuman, Ari – Journal of Further and Higher Education, 2022
In modern society, academic success is closely associated with achievement. In order to help students realise their potential, it is essential to understand the factors that promote academic success. The research literature indicates several factors that are associated with academic success, including learning strategies, self-direction, and…
Descriptors: Learning Strategies, Academic Achievement, Undergraduate Students, Independent Study
George Hanshaw; Joanna Vance; Craig Brewer – Open Praxis, 2024
This study examines the impact of AI course assistants on student learning experiences in online undergraduate courses at Los Angeles Pacific University. A controlled experiment involving 92 students across treatment and control groups was conducted to evaluate the effectiveness of AI assistants developed by Nectir. The treatment group had access…
Descriptors: Instructional Effectiveness, Artificial Intelligence, Student Experience, Undergraduate Students
Messineo, Linda; Tosto, Crispino; Allegra, Mario – European Journal of Educational Research, 2021
The present study aimed to investigate the relationship between students' academic motivation, implicit beliefs about intelligence and learning strategies among undergraduate healthcare students. First-year students of healthcare degree courses from a university in Southern Italy were surveyed. The study measured psychological constructs by means…
Descriptors: Undergraduate Students, Predictor Variables, Learning Strategies, Student Motivation
Pullen, Annedien G.; Griffioen, Didi M. E.; Schoonenboom, Judith; de Koning, Björn B.; Beishuizen, Jos J. – Studies in Higher Education, 2018
It is often assumed that students with a higher potential for excellence are less motivated to collaborate. So far, the question remains whether this is actually the case. This survey study investigated the influence of business students' (N = 389) potential for excellence on their motivation to collaborate on a business-related task. Different…
Descriptors: Student Motivation, Undergraduate Students, Foreign Countries, Business Administration Education
Guterman, Oz; Neuman, Ari – Journal of Further and Higher Education, 2019
Research has indicated significant disparities in the academic achievement of minority and majority groups in most Western countries. In light of the role of academic achievement as the main component of social mobility, it is important to understand the source of these differences between the majority and minority groups. The present research…
Descriptors: Differences, Academic Achievement, Higher Education, Goal Orientation
Ng, Davy Tsz Kit; Chu, Samuel Kai Wah – Online Learning, 2021
In Hong Kong, after-school activities have long been used to foster friendships and to allow students to pursue their interests in an informal setting. This case study reports on a three-phase action research process in which information technology teachers delivered after-school activities focused on artificial intelligence during the COVID-19…
Descriptors: Student Motivation, Student Satisfaction, Secondary School Students, Artificial Intelligence
Köseoglu, Yaman – Journal of Education and Practice, 2015
The issues of motivational inclinations, cognitive and meta-cognitive approaches and resource management abilities of university students are considered in predicting academic achievement. First-year university students filled in the Motivated Strategies Learning Questionnaire, completed the Implicit Theories of Intelligence Scale, answered the…
Descriptors: Foreign Countries, Self Efficacy, Academic Achievement, College Freshmen
Komarraju, Meera; Nadler, Dustin – Learning and Individual Differences, 2013
We examined motivational orientations, cognitive-metacognitive strategies, and resource management in predicting academic achievement. Undergraduates (407) completed the Motivated Strategies Learning Questionnaire, Implicit Theories of Intelligence Scale, Achievement Goal Inventory, and self-reported grade point average. A MANCOVA (controlling for…
Descriptors: Academic Achievement, Intelligence, Grade Point Average, Multiple Regression Analysis
Lin, Hao-Chiang Koong; Wang, Cheng-Hung; Chao, Ching-Ju; Chien, Ming-Kuan – Turkish Online Journal of Educational Technology - TOJET, 2012
Emotional expression in Artificial Intelligence has gained lots of attention in recent years, people applied its affective computing not only in enhancing and realizing the interaction between computers and human, it also makes computer more humane. In this study, emotional expressions were applied into intelligent tutoring system, where learners'…
Descriptors: Foreign Countries, Intelligent Tutoring Systems, Artificial Intelligence, Focus Groups