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Showing 1 to 15 of 46 results Save | Export
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Rico-Juan, Juan Ramon; Sanchez-Cartagena, Victor M.; Valero-Mas, Jose J.; Gallego, Antonio Javier – IEEE Transactions on Learning Technologies, 2023
Online Judge (OJ) systems are typically considered within programming-related courses as they yield fast and objective assessments of the code developed by the students. Such an evaluation generally provides a single decision based on a rubric, most commonly whether the submission successfully accomplished the assignment. Nevertheless, since in an…
Descriptors: Artificial Intelligence, Models, Student Behavior, Feedback (Response)
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Kenworthy, Jared B.; Doboli, Simona; Alsayed, Omar; Choudhary, Rishabh; Jaed, Abu; Minai, Ali A.; Paulus, Paul B. – Creativity Research Journal, 2023
We present the results of an ongoing collaboration between computer science and psychology researchers that employs Natural Language Processing (NLP) methods to examine the trajectory of semantic space used during group idea generation sessions. Specifically, we track and estimate the region of semantic space being used and the degree to which new…
Descriptors: Computer Science, Psychology, Researchers, Natural Language Processing
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Tanaka, Tetsuo; Ueda, Mari – International Association for Development of the Information Society, 2023
In this study, the authors have developed a web-based programming exercise system currently implemented in classrooms. This system not only provides students with a web-based programming environment but also tracks the time spent on exercises, logging operations such as program editing, building, execution, and testing. Additionally, it records…
Descriptors: Scores, Prediction, Programming, Artificial Intelligence
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Du, Jie; Wimmer, Hayden; Rada, Roy – Information Systems Education Journal, 2018
This study investigates the delivery of the "Hour of Code" tutorials to college students. The college students who participated in this study were surveyed about their opinion of the Hour of Code. First, the students' comments were discussed. Next, a content analysis of the offered tutorials highlights their reliance on visual…
Descriptors: College Students, Tutorial Programs, Student Surveys, Computer Games
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Martin, Florence; Chen, Yan; Moore, Robert L.; Westine, Carl D. – Educational Technology Research and Development, 2020
This systematic review of research on adaptive learning used a strategic search process to synthesize research on adaptive learning based on publication trends, instructional context, research methodology components, research focus, adaptive strategies, and technologies. A total of 61 articles on adaptive learning were analyzed to describe the…
Descriptors: Electronic Learning, Educational Research, Journal Articles, Computer Science
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Godfroid, Aline; Winke, Paula; Conklin, Kathy – Second Language Research, 2020
In this paper, we review how eye tracking, which offers millisecond-precise information about how language learners orient their visual attention, can be used to investigate a variety of processes involved in the multifaceted endeavor of second language acquisition (SLA). In particular, we review the last 15 years of research in SLA, in which…
Descriptors: Second Language Learning, Eye Movements, Language Processing, Language Research
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Benotti, Luciana; Martinez, Maria Cecilia; Schapachnik, Fernando – IEEE Transactions on Learning Technologies, 2018
In this paper we present a software platform called Chatbot designed to introduce high school students to Computer Science (CS) concepts in an innovative way: by programming chatbots. A chatbot is a bot that can be programmed to have a conversation with a human or robotic partner in some natural language such as English or Spanish. While…
Descriptors: Formative Evaluation, Introductory Courses, Computer Science, High School Students
Demszky, Dorottya – ProQuest LLC, 2022
Language is central to education, being the core medium of instruction. Researchers and practitioners have long used manual methods to analyze instructional language like classroom discourse and instructional texts, with the goal of facilitating student-centered instruction. In this dissertation, I offer three studies demonstrating how natural…
Descriptors: Natural Language Processing, Student Centered Learning, Textbook Content, Evaluation Methods
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Duzenli, Hülya – Journal of Educational Technology and Online Learning, 2021
Gen Z stands out as a new age learner group in the context of open and distance learning. Research shows that Gen Z has different needs and expectations form their predecessors; therefore, new educational interventions are required. The purpose of this study is to examine the suggestions of the scientific articles on Gen Z to draw educational…
Descriptors: Age Groups, Generational Differences, Distance Education, Open Education
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Balakrishnan, Vimala; Mehmood, Yasir; Nagappan, Yoganathan – Information Research: An International Electronic Journal, 2016
Introduction: Studies have indicated that users' text highlighting behaviour can be further manipulated to improve the relevance of retrieved results. This article reports on a study that examined users' text highlight frequency, length and users' copy-paste actions. Method: A binary voting mechanism was employed to determine the weights for the…
Descriptors: Online Searching, Search Strategies, Information Seeking, Feedback (Response)
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Burkett, Susan L.; Kotru, Sushma; Lusth, John C.; McCallum, Debra; Dunlap, Sarah – American Journal of Engineering Education, 2014
Dunlap, The University of Alabama, USA ABSTRACT In the electrical and computer engineering (ECE) curriculum at The University of Alabama, freshmen are introduced to fundamental electrical concepts and units, DC circuit analysis techniques, operational amplifiers, circuit simulation, design, and professional ethics. The two credit course has both…
Descriptors: Engineering, Engineering Education, Computer Science Education, Computer Science
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Baneres, David; Rodriguez-Gonzalez, M. Elena; Serra, Montse – IEEE Transactions on Learning Technologies, 2019
Identifying at-risk students as soon as possible is a challenge in educational institutions. Decreasing the time lag between identification and real at-risk state may significantly reduce the risk of failure or disengage. In small courses, their identification is relatively easy, but it is impractical on larger ones. Current Learning Management…
Descriptors: Prediction, Feedback (Response), At Risk Students, College Freshmen
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McBroom, Jessica; Jeffries, Bryn; Koprinska, Irena; Yacef, Kalina – International Educational Data Mining Society, 2016
Effective mining of data from online submission systems offers the potential to improve educational outcomes by identifying student habits and behaviours and their relationship with levels of achievement. In particular, it may assist in identifying students at risk of performing poorly, allowing for early intervention. In this paper we investigate…
Descriptors: Data Collection, Student Behavior, Academic Achievement, Correlation
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Tumthong, Suwut; Piriyasurawong, Pullop; Jeerangsuwan, Namon – Journal of Education and Learning, 2016
This research proposes a functional competency development model for academic personnel based on international professional qualification standards in computing field and examines the appropriateness of the model. Specifically, the model consists of three key components which are: 1) functional competency development model, 2) blended training…
Descriptors: Competence, Technological Literacy, Models, Learning
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Bukhsh, Qadir; Chaudhary, Muhammad Ajmal – Turkish Online Journal of Distance Education, 2015
Distributed learning is derived from the concept of distributed resources. Different institutions around the globe connected through network and the learners are diverse, located in the different cultures and communities. Distributed learning provides global standards of quality to all learners through synchronous and asynchronous communications…
Descriptors: Distance Education, Open Education, Standards, Educational Quality
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