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Liu, Lei; Luo, Yanyang; Yin, NaJia – Education and Information Technologies, 2023
Despite emerging use of review replying function in online course eWOM, little attention has been paid to its role. The lack of theoretical researches and contradictory views have caused great inconsistencies in practice. The research designed two studies to explore the impact of review replying. Based on real data crawled, study 1 explored the…
Descriptors: Online Courses, Computer Mediated Communication, Student Satisfaction, Course Evaluation
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Huijuan Fu; Yangcai Xiao; Isaac Kofi Mensah; Rui Wang – Education and Information Technologies, 2024
The nation's explosive growth in Massive Open Online Courses (MOOCs) is likely to lead to low effectiveness of MOOCs, therefore, it is necessary to promote the high-quality and long-term development of MOOCs through understanding learner satisfaction. The present research adopted the Latent Dirichlet Allocation (LDA) to derive factors affecting…
Descriptors: Student Satisfaction, MOOCs, Computer Science Education, Curriculum Design
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Farkhanda Qamar; Naveed Ikram – Education and Information Technologies, 2024
Curriculum and its operative application have always been of key importance in educational system and its significance increases when it comes to higher education. The importance of an efficient and effective curriculum is acknowledged in recent studies, but the mechanisms used for preparation of curriculum are still human-intensive, tedious, and…
Descriptors: Undergraduate Study, Evaluation Methods, Engineering Education, Computer Software
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Xieling Chen; Di Zou; Gary Cheng; Haoran Xie – Education and Information Technologies, 2024
The rise of massive open online courses (MOOCs) brings rich opportunities for understanding learners' experiences based on analyzing learner-generated content such as course reviews. Traditionally, the unstructured textual data is analyzed qualitatively via manual coding, thus failing to offer a timely understanding of the learner's experiences.…
Descriptors: Artificial Intelligence, Semantics, Course Evaluation, MOOCs
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Malik, Khalid Mahmood; Zhu, Meina – Education and Information Technologies, 2023
The need for computer science (CS) education, especially computer network education, is increasing. However, the challenges of teaching students with diverse backgrounds and engaging them in hands-on activities to apply theories into practices exist in CS education. The study addressed the challenges by using project-based learning (PBL) and…
Descriptors: Student Projects, Active Learning, Experiential Learning, Computer Science Education
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Sa'ar Karp Gershon; Ella Anghel; Giora Alexandron – Education and Information Technologies, 2024
For Massive Open Online Courses to have trustworthy credentials, assessments in these courses must be valid, reliable, and fair. Item Response Theory provides a robust approach to evaluating these properties. However, for this theory to be applicable, certain properties of the assessment items should be met, among them that item difficulties are…
Descriptors: MOOCs, Item Response Theory, Physics, Advanced Placement Programs
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AL-Sayid, Fareed; Kirkil, Gokhan – Education and Information Technologies, 2023
The novelty of this study is in developing a conceptual model for predicting the non-linear relationships between human-computer interaction factors and ease of use and usefulness of collaborative web-based learning or e-learning. Ten models (logarithmic, inverse, quadratic, cubic, compound, power, s-curve, growth, exponential, and logistic) were…
Descriptors: Cooperative Learning, Electronic Learning, Web Based Instruction, Man Machine Systems
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Anna Koufakou – Education and Information Technologies, 2024
Student opinions for a course are important to educators and administrators, regardless of the type of the course or the institution. Reading and manually analyzing open-ended feedback becomes infeasible for massive volumes of comments at institution level or online forums. In this paper, we collected and pre-processed a large number of course…
Descriptors: Learning, Opinions, Student Attitudes, Natural Language Processing
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Lemay, David John; Doleck, Tenzin – Education and Information Technologies, 2020
Massive open online courses (MOOCs) hold the promise of democratizing the learning process. However, providing effective feedback has proven hard to offer at scale since most methods require a teacher or tutor. Leveraging big data in MOOCs offers a mechanism to develop predictive models that can inform computer-based pedagogical tutors. We review…
Descriptors: Grades (Scholastic), Prediction, Online Courses, Video Technology
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Dake, Delali Kwasi; Gyimah, Esther – Education and Information Technologies, 2023
Text analytics in education has evolved to form a critical component of the future SMART campus architecture. Sentiment analysis and qualitative feedback from students is now a crucial application domain of text analytics relevant to institutions. The implementation of sentiment analysis helps understand learners' appreciation of lessons, which…
Descriptors: Feedback (Response), College Students, Psychological Patterns, Algorithms
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Xinogalos, Stelios; Pitner, Tomáš; Ivanovic, Mirjana; Savic, Miloš – Education and Information Technologies, 2018
The choice of the first programming language (FPL) has been a controversial issue for several decades. Nearly everyone agrees that the FPL is important and affects students' subsequent education on programming. The study presented in this article investigates the suitability of various C-like and Pascal-like programming languages as a FPL.…
Descriptors: Student Attitudes, Programming Languages, Computer Software, Questionnaires
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Peters, Adrienne M. F.; Crane, Daph; Costello, Jane – Education and Information Technologies, 2019
Social media's reach has extended into our personal, professional, and educational lives. Related to the latter, research has examined how technologies, such as Twitter, can be used as communication and evaluation tools in postsecondary settings. No known studies have considered students' experiences using Twitter in different course delivery…
Descriptors: Social Media, Postsecondary Education, Electronic Learning, College Students
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Wang, Wei; Liu, Haiwang; Wu, Yenchun Jim; Goh, Mark – Education and Information Technologies, 2023
In Massive Open Online Courses (MOOCs), learners can post both text comments and overall ratings regarding the courses. There is growing interest in assessing the consistency of online reviews and the determinants of learner satisfaction. This study analyses the disconfirmation effect between textual review topics and the determinants of learner…
Descriptors: Student Attitudes, MOOCs, Foreign Countries, Course Evaluation
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Vivek, C. M.; Ramkumar, P. – Education and Information Technologies, 2021
With development in technologies in educational and industrial sectors students are facing strenuous competitions. Job offers around the world fixate on recruiting suitable graduates with skills, knowledge and problem solving skills. For assuring the learners attainment of cognitive, psychometric and affective levels, Outcome based education (OBE)…
Descriptors: Course Evaluation, Educational Attainment, Engineering Education, Conventional Instruction
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Faraon, Montathar; Rönkkö, Kari; Wiberg, Mikael; Ramberg, Robert – Education and Information Technologies, 2020
As information technology continues to evolve rapidly in society, coding skills become increasingly essential to develop. The purpose of this article is to examine differences between the learner-centered and sociocultural approaches when teaching and learning coding in higher education. A quasi-experiment was applied over six academic semesters…
Descriptors: Higher Education, Computer Science Education, Computer System Design, Web Sites
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