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Mubarak, Ahmed Ali; Cao, Han; Ahmed, Salah A. M. – Education and Information Technologies, 2021
Analysis of learning behavior of MOOC enthusiasts has become a posed challenge in the Learning Analytics field, which is especially related to video lecture data, since most learners watch the same online lecture videos. It helps to conduct a comprehensive analysis of such behaviors and explore various learning patterns for learners and predict…
Descriptors: Learning Analytics, Online Courses, Video Technology, Artificial Intelligence
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Warwick, Claire – New Review of Academic Librarianship, 2021
During the pandemic we have found that the experience of interaction online, whether with other people, or with information is very different from what we do in person. And this experience is seldom compared favourably to physical, interaction. Thanks to the A level algorithm fiasco, algorithms are treated with growing scepticism and social media…
Descriptors: Information Utilization, Decision Making, Artificial Intelligence, Psychological Patterns
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Yang, Chunsheng; Chiang, Feng-Kuang; Cheng, Qiangqiang; Ji, Jun – Journal of Educational Computing Research, 2021
Machine learning-based modeling technology has recently become a powerful technique and tool for developing models for explaining, predicting, and describing system/human behaviors. In developing intelligent education systems or technologies, some research has focused on applying unique machine learning algorithms to build the ad-hoc student…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Data Use, Models
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Torsney, Benjamin M.; Korstange, Ryan; Symonds, Jennifer E. – Psychology in the Schools, 2021
The current study investigated whether a brief refutation text intervention could change college students' misconceptions about the malleability of their intelligence and abilities. Students from a 2-year college and a 4-year university in a large urban city in the Northeastern United States participated in experimental and control conditions. A…
Descriptors: Misconceptions, Ability, Intelligence, Cognitive Structures
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Chau, Hung; Labutov, Igor; Thaker, Khushboo; He, Daqing; Brusilovsky, Peter – International Journal of Artificial Intelligence in Education, 2021
The increasing popularity of digital textbooks as a new learning media has resulted in a growing interest in developing a new generation of "adaptive textbooks" that can help readers to learn better through adapting to the readers' learning goals and the current state of knowledge. These adaptive textbooks are most frequently powered by…
Descriptors: Automation, Textbooks, Computer Uses in Education, Artificial Intelligence
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Manasa Devi, Mortha; Seetha, Maddala; Viswanadha Raju, Somalaraju – Journal of Computing in Higher Education, 2021
Automated text detection and analysis holds incredible potential for research in higher education. It is challenging because higher education institutes produce an enormous amount and variety of texts, letters, articles, books, reports etc. Futuristic E-learning based education replaces the difficulty of understanding the semantic meaning of the…
Descriptors: Online Courses, Higher Education, Video Technology, Educational Technology
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Beseiso, Majdi; Alzubi, Omar A.; Rashaideh, Hasan – Journal of Computing in Higher Education, 2021
E-learning is gradually gaining prominence in higher education, with universities enlarging provision and more students getting enrolled. The effectiveness of automated essay scoring (AES) is thus holding a strong appeal to universities for managing an increasing learning interest and reducing costs associated with human raters. The growth in…
Descriptors: Automation, Scoring, Essays, Writing Tests
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Al Hosni, Afraa Ali; Al-Manthari, Rayya Salim – World Journal of Education, 2021
This study aimed to examine the multiple intelligences among the ninth-grade students in the North Al Batinah Governorate in the Sultanate of Oman. The study sample contained 112 randomly selected students. For the purposes of this study, the researchers designed two multiple intelligences scales, consisting of the eight types of intelligences:…
Descriptors: Multiple Intelligences, Grade 9, Gender Differences, Academic Achievement
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Bulgurcuoglu, Ahmet Nusret – Education Quarterly Reviews, 2021
The purpose of this study is to compare the multiple intelligence level of athletes participating in Inter-University Kick Boxing Championships in Turkey according to different variables. The universe of the study is created by 650 athletes from 65 universities that attended to the Inter-University Kick-Boxing Championship in Turkey (between 06-11…
Descriptors: Foreign Countries, Competition, Athletes, College Athletics
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Li, Chenglu; Xing, Wanli – International Journal of Artificial Intelligence in Education, 2021
Among all the learning resources within MOOCs such as video lectures and homework, the discussion forum stood out as a valuable platform for students' learning through knowledge exchange. However, peer interactions on MOOC discussion forums are scarce. The lack of interactions among MOOC learners can yield negative effects on students' learning,…
Descriptors: Natural Language Processing, Online Courses, Computer Mediated Communication, Artificial Intelligence
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Popescu, Vasile Florin; Pistol, Marius Sorin – International Journal of Assessment Tools in Education, 2021
Assessing the performance of academics at different levels is increasingly difficult to achieve using traditional methods based mainly on numerical scores in evaluating teaching and research activity. The indexing of academic performance in various international databases with impact indices at different scales has led to the need for advanced…
Descriptors: College Faculty, Artificial Intelligence, Computer Uses in Education, Logical Thinking
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Santos, Deborah L.; Gallo, Harrison; Barbera, Jack; Mooring, Suazette R. – Chemistry Education Research and Practice, 2021
Students' beliefs about their ability to improve their intelligence (known as mindset) likely have more impact on their academic outcomes when engaging in challenging learning environments, such as introductory undergraduate chemistry courses. To date, little research has been conducted on the chemistry-specific aspects of intelligence which…
Descriptors: Student Attitudes, Intelligence, Chemistry, Undergraduate Students
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Gresse von Wangenheim, Christiane; Hauck, Jean C. R.; Pacheco, Fernando S.; Bertonceli Bueno, Matheus F. – Education and Information Technologies, 2021
Teaching Machine Learning in school helps students to be better prepared for a society rapidly changing due to the impact of Artificial Intelligence. This requires age-appropriate tools that allow students to develop a comprehensive understanding of Machine Learning in order to become creators of smart solutions. Following the trend of visual…
Descriptors: Elementary Secondary Education, Computer Science Education, Artificial Intelligence, Instructional Materials
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Huang, Xiaodong – Education and Information Technologies, 2021
Cultivating students' key competencies contributes to students' adaptation to the fast developing intelligent era. Artificial intelligence education is an important way to cultivate students' key competencies. It is increasingly important to set up appropriate artificial intelligence courses at the fundamental education stage and cultivate…
Descriptors: Foreign Countries, Artificial Intelligence, Computer Science Education, Competence
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Murray-Johnson, Kayon; Munro, Andrea; Popoola, Racheal – New Directions for Adult and Continuing Education, 2021
This article defines deep learning and describes how four technology-based activities can be used to promote deep learning in the online environment. The rationale for their use along with benefits, limitations, and alternatives are explored.
Descriptors: Educational Technology, Technology Uses in Education, Online Courses, Learning Activities
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