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Direct linkNathan A. Quarderer; Leah Wasser; Anne U. Gold; Patricia Montaño; Lauren Herwehe; Katherine Halama; Emily Biggane; Jessica Logan; David Parr; Sylvia Brady; James Sanovia; Charles Jason Tinant; Elisha Yellow Thunder; Justina White Eyes; LaShell Poor Bear/Bagola; Madison Phelps; Trey Orion Phelps; Brett Alberts; Michela Johnson; Nathan Korinek; William Travis; Naomi Jacquez; Kaiea Rohlehr; Emily Ward; Elsa Culler; R. Chelsea Nagy; Jennifer Balch – Journal of Statistics and Data Science Education, 2025
Today's data-driven world requires earth and environmental scientists to have skills at the intersection of domain and data science. These skills are imperative to harness information contained in a growing volume of complex data to solve the world's most pressing environmental challenges. Despite the importance of these skills, Earth and…
Descriptors: Electronic Learning, Earth Science, Environmental Education, Science Education
Yueh-Hui Vanessa Chiang; Maiga Chang; Nian-Shing Chen – Educational Technology & Society, 2024
Generative Artificial Intelligence (AI), especially machine learning models that autonomously generate human-like content, has recently attracted significant attention in the education sector. This paper explores the potential of generative AI, including tools like ChatGPT, to shift from traditional outcome-oriented educational practices to a more…
Descriptors: Artificial Intelligence, Educational Practices, Process Education, Educational Objectives
Kapoor, Madhu; Yang, Zhanxia; Bers, Marina – Journal of Technology and Teacher Education, 2022
Prior work has shown a lack of quality professional development (PD) programs specifically targeted for early elementary teachers to improve their knowledge and self-efficacy around teaching coding in their classrooms. Whereas traditional PD programs in this area have relied upon in-person workshops, the COVID-19 pandemic necessitated the need to…
Descriptors: Elementary School Teachers, Faculty Development, Electronic Learning, Distance Education
Murai, Yumiko; Muramatsu, Hiroyuki – Information and Learning Sciences, 2020
Purpose: While it is particularly important that professional programs help teachers become members of a community of practice, especially in crisis situations such as the COVID-19 pandemic, there is a lack of research about strategies to effectively encourage the development of a community of practice and to support teachers' transformation of…
Descriptors: Creativity, Blended Learning, Faculty Development, Programming
Leigh Jin; Tai-Yin Chi; Brenda Mak – Journal of Information Systems Education, 2024
This paper presents the Screencast-Based Assessment Technique (SBAT) for a mobile app development curriculum in the information systems discipline. SBAT was implemented as a midterm take-home exam in which students design and develop an app project based on their own interests, passions, or ambitions. In addition to coding, students must create…
Descriptors: Technology Uses in Education, Computer Oriented Programs, Handheld Devices, Computer Software
Download full textKumalija, Elhard James; Fatih, Ymran; Sun, Yi – International Association for Development of the Information Society, 2019
Effectiveness of program visualization tools in teaching and learning programming is well documented. However most of program visualization tools are desktop applications, this study aims at investigating students' perception of program visualization on Android smartphones. Study result shows that program visualization using smartphones can arouse…
Descriptors: Student Attitudes, Visualization, Handheld Devices, Electronic Learning
Jamal, Bakht; Rizvi, Syed Asad Abbas; Kayani, Muhammad Munir – Pakistan Journal of Distance and Online Learning, 2021
This research study was designed to explore the teaching-learning approaches to distance education and measuring students' learning perceptions. Using the multi-stage sampling technique, eight hundred and two (802) students of the Master of Arts in a distance education university were taken using the universal sampling. Data were collected through…
Descriptors: Distance Education, Educational Innovation, Electronic Learning, Integrated Learning Systems
Dixit, Ramnath; Sinha, Vinita – Journal of Workplace Learning, 2022
Purpose: The purpose of this paper is to guide decision-makers in the learning and development space with effective and efficient training transfer tools and techniques to facilitate workplace implementation of skills and knowledge disseminated during training interventions. Design/methodology/approach: Insights were drawn using a quantitative…
Descriptors: Transfer of Training, Job Skills, Job Training, Methods
Anna Y. Q. Huang; Jei Wei Chang; Albert C. M. Yang; Hiroaki Ogata; Shun Ting Li; Ruo Xuan Yen; Stephen J. H. Yang – Educational Technology & Society, 2023
To improve students' learning performance through review learning activities, we developed a personalized intervention tutoring approach that leverages learning analysis based on artificial intelligence. The proposed intervention first uses text-processing artificial intelligence technologies, namely bidirectional encoder representations from…
Descriptors: Academic Achievement, Tutoring, Artificial Intelligence, Individualized Instruction
Schwarzenberg, Pablo; Navon, Jaime; Pérez-Sanagustín, Mar – Journal of Computing in Higher Education, 2020
The flipped classroom gives students the flexibility to organize their learning, while teachers can monitor their progress analyzing their online activity. In massive courses where there are a variety of activities, automated analysis techniques are required in order to process the large volume of information that is generated, to help teachers…
Descriptors: Models, Blended Learning, Teaching Methods, Electronic Learning
Menke, Erik J. – Journal of Chemical Education, 2020
UC Merced's upper-division analytical chemistry course has been modified to include a series of Jupyter notebooks intended to introduce chemistry students to the Python computer language. These Jupyter notebooks were designed to cover a wide variety of topics common to quantitative and instrumental analysis. Assuming no prior programming…
Descriptors: Science Instruction, Chemistry, College Science, Undergraduate Study
Huang, Sheng-Bo; Jeng, Yu-Lin; Lai, Chin-Feng – Journal of Educational Computing Research, 2021
In recent years, the government has actively set up computer programming courses to train those with the relevant talent; however, the learning performance of the students is not ideal. Therefore, in order to learn programming skills, students usually adopt note-taking strategies because, due to the pressure of the course, the teachers do not have…
Descriptors: Notetaking, Learning Strategies, Cognitive Style, Peer Teaching
Adkins, Joni K.; Linville, Diana R.; Badami, Charles – Information Systems Education Journal, 2020
Online textbooks allow instructors to provide interactive and engaging activities for students. In this paper, we look at how providing an interactive online textbook is utilized and valued in a beginning computer programming course. In addition, we compare the utilization of the online textbook to the student final course grade. Our findings…
Descriptors: Instructional Effectiveness, Introductory Courses, Programming, Computer Science Education
Basuhail, Abdullah – International Journal of Technology in Education, 2019
Problem solving techniques are one of the primary topics introduced to the computing and information technology students in tertiary education. In general, those techniques are presented using a collection of traditional tools, such as texts, graphs, illustrations, procedural steps, pseudocodes, algorithms, and flowcharts. In many cases, there is…
Descriptors: Electronic Learning, Programming, Problem Solving, Postsecondary Education
Uto, Masaki; Nguyen, Duc-Thien; Ueno, Maomi – IEEE Transactions on Learning Technologies, 2020
With the wide spread large-scale e-learning environments such as MOOCs, peer assessment has been popularly used to measure the learner ability. When the number of learners increases, peer assessment is often conducted by dividing learners into multiple groups to reduce the learner's assessment workload. However, in such cases, the peer assessment…
Descriptors: Item Response Theory, Electronic Learning, Peer Evaluation, Accuracy
