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Heng Zhang; Minhong Wang – Knowledge Management & E-Learning, 2024
With the fast development of artificial intelligence and emerging technologies, automatic recognition of students' facial expressions has received increased attention. Facial expressions are a kind of external manifestation of emotional states. It is important for teachers to assess students' emotional states and adjust teaching activities…
Descriptors: Artificial Intelligence, Models, Recognition (Psychology), Nonverbal Communication
Davidson, Jason L. – ProQuest LLC, 2023
Student enrollment in online courses has nearly tripled over the last decade, with 72% of college students participating in at least one online course. There are many advantages to online education such as increased classroom diversity, the reduction of geographical limitations, and overall convenience. However, studies have shown students…
Descriptors: Automation, Online Courses, Nonverbal Communication, Learner Engagement
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Nesrine Mansouri; Mourad Abed; Makram Soui – Education and Information Technologies, 2024
Selecting undergraduate majors or specializations is a crucial decision for students since it considerably impacts their educational and career paths. Moreover, their decisions should match their academic background, interests, and goals to pursue their passions and discover various career paths with motivation. However, such a decision remains…
Descriptors: Undergraduate Students, Decision Making, Majors (Students), Specialization
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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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Lagstedt, Altti; Lindstedt, Juha P.; Kauppinen, Raine – Education and Information Technologies, 2020
Digitalization challenges the way in which business processes are seen. The potential for enhancement is even recognized in business areas that traditionally have little to do with IT. Even though universities have long-standing traditions of how work is organized, they have not been eager to adopt digitalized processes. Because core university…
Descriptors: Technology Integration, Universities, Information Technology, College Administration
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Gorgun, Guher; Yildirim-Erbasli, Seyma N.; Epp, Carrie Demmans – International Educational Data Mining Society, 2022
The need to identify student cognitive engagement in online-learning settings has increased with our use of online learning approaches because engagement plays an important role in ensuring student success in these environments. Engaged students are more likely to complete online courses successfully, but this setting makes it more difficult for…
Descriptors: Online Courses, Group Discussion, Learner Engagement, Student Participation
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Wai Tong Chor; Kam Meng Goh; Li Li Lim; Kin Yun Lum; Tsung Heng Chiew – Education and Information Technologies, 2024
The programme outcomes are broad statements of knowledge, skills, and competencies that the students should be able to demonstrate upon graduation from a programme, while the Educational Taxonomy classifies learning objectives into different domains. The precise mapping of a course outcomes to the programme outcome and the educational taxonomy…
Descriptors: Artificial Intelligence, Engineering Education, Taxonomy, Educational Objectives
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Jia, Qinjin; Cui, Jialin; Xiao, Yunkai; Liu, Chengyuan; Rashid, Parvez; Gehringer, Edward – International Educational Data Mining Society, 2021
Peer assessment has been widely applied across diverse academic fields over the last few decades, and has demonstrated its effectiveness. However, the advantages of peer assessment can only be achieved with high-quality peer reviews. Previous studies have found that high-quality review comments usually comprise several features (e.g., contain…
Descriptors: Peer Evaluation, Models, Artificial Intelligence, Evaluation Methods
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Forkosh-Baruch, Alona; Phillips, Michael; Smits, Anneke – Educational Technology Research and Development, 2021
This article focuses on preservice and in-service teachers' pedagogical reasoning, decision making and action concerning technology integration for learning. We examine this topic in light of three contemporary barriers in policy, practice and research, namely: the lack of an integrative model that considers how teachers come to shape their…
Descriptors: Decision Making, Thinking Skills, Technology Integration, Preservice Teachers
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Polak, Julia; Cook, Dianne – Journal of Statistics and Data Science Education, 2021
Kaggle is a data modeling competition service, where participants compete to build a model with lower predictive error than other participants. Several years ago they released a simplified service that is ideal for instructors to run competitions in a classroom setting. This article describes the results of an experiment to determine if…
Descriptors: Artificial Intelligence, Data Analysis, Models, Competition
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Sanchez-Ferreres, Josep; Delicado, Luis; Andaloussi, Amine Abbab; Burattin, Andrea; Calderon-Ruiz, Guillermo; Weber, Barbara; Carmona, Josep; Padro, Lluis – IEEE Transactions on Learning Technologies, 2020
The creation of a process model is primarily a formalization task that faces the challenge of constructing a syntactically correct entity, which accurately reflects the semantics of reality, and is understandable to the model reader. This article proposes a framework called "Model Judge," focused toward the two main actors in the process…
Descriptors: Models, Automation, Validity, Natural Language Processing
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van Pletzen, Ermien; Sithaldeen, Riashna; Fontaine-Rainen, Danny; Bam, Megan; Lee Shong, Carmelita; Charitar, Deepti; Dlulani, Simphiwe; Pettus, Juanitill; Sebothoma, Dimakatso – Journal of Student Affairs in Africa, 2021
Academic advising is a High-Impact Practice that supports better outcomes for all students, particularly those encountering structural barriers to success. This paper presents a case study of processes followed in a three-year project (2018-20) at the University of Cape Town (UCT) to conceptualise, design, and start implementing an academic…
Descriptors: Academic Advising, Program Implementation, Universities, Foreign Countries
Ziwei Zhou – ProQuest LLC, 2020
In light of the ever-increasing capability of computer technology and advancement in speech and natural language processing techniques, automated speech scoring of constructed responses is gaining popularity in many high-stakes assessment and low-stakes educational settings. Automated scoring is a highly interdisciplinary and complex subject, and…
Descriptors: Certification, Speech Skills, Automation, Scoring
Stewart, Angela E. B.; Vrzakova, Hana; Sun, Chen; Yonehiro, Jade; Stone, Cathlyn Adele; Duran, Nicholas D.; Shute, Valerie; D'Mello, Sidney K. – Grantee Submission, 2019
Collaborative problem solving (CPS) is a crucial 21st century skill; however, current technologies fall short of effectively supporting CPS processes, especially for remote, computer-enabled interactions. In order to develop next-generation computer-supported collaborative systems that enhance CPS processes and outcomes by monitoring and…
Descriptors: Problem Solving, Cooperative Learning, Language Usage, Speech Communication
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Leppisaari, Irja; Peltoniemi, Janne; Hohenthal, Tuula; Im, Yeonwook – Journal of Interactive Learning Research, 2018
Peer assessment brings new affordances to the implementation of meaningful assessment on online courses (e.g. MOOCs) by using technological solutions to automate the assessment process. For this reason, teachers need digital pedagogic skills for planning, implementing and developing effective peer assessment models. In this paper we apply the…
Descriptors: Peer Evaluation, Online Courses, Automation, College Students
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