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Gresse Von Wangenheim, Christiane; Da Cruz Alves, Nathalia; Rauber, Marcelo F.; Hauck, Jean C. R.; Yeter, Ibrahim H. – Informatics in Education, 2022
Although Machine Learning (ML) is used already in our daily lives, few are familiar with the technology. This poses new challenges for students to understand ML, its potential, and limitations as well as to empower them to become creators of intelligent solutions. To effectively guide the learning of ML, this article proposes a scoring rubric for…
Descriptors: Performance Based Assessment, Artificial Intelligence, Learning Processes, Scoring Rubrics
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Srichai, Kittipat; Wongsaphan, Montree – Journal of Educational Issues, 2022
Trisikkha principles consisting of morality, concentration, and wisdom discovered by the Lord Buddha, as well as the concept of contemplative education has been applied to learning-teaching management in Thailand for a long time. This research aimed to investigate the implementation of the learning management model based on the Trisikkha…
Descriptors: Moral Values, Student Attitudes, Student Characteristics, Teaching Methods
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Caspari-Sadeghi, Sima; Mille, Elena; Epperlein, Hella; Forster-Heinlein, Brigitte – Mathematics Teaching Research Journal, 2022
This collaborative action research highlights the need for developing students' evaluative competence and self-reflection by embedding self-and-peer assessment into online instruction. Over the course of a semester in an online master program in mathematics and computer sciences, students conducted research on assigned topics, held presentations,…
Descriptors: Graduate Students, Masters Programs, College Mathematics, Mathematics Education
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Kermek, Dragutin; Novak, Matija – Informatics in Education, 2016
In programming courses there are various ways in which students attempt to cheat. The most commonly used method is copying source code from other students and making minimal changes in it, like renaming variable names. Several tools like Sherlock, JPlag and Moss have been devised to detect source code plagiarism. However, for larger student…
Descriptors: Plagiarism, Programming, Assignments, Cheating
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Paaßen, Benjamin; Jensen, Joris; Hammer, Barbara – International Educational Data Mining Society, 2016
The first intelligent tutoring systems for computer programming have been proposed more than 30 years ago, mostly focusing on well defined programming tasks e.g. in the context of logic programming. Recent systems also teach complex programs, where explicit modelling of every possible program and mistake is no longer possible. Such systems are…
Descriptors: Intelligent Tutoring Systems, Programming, Computer Science Education, Data
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Bonner, Sarah; Chen, Peggy; Jones, Kristi; Milonovich, Brandon – Applied Measurement in Education, 2021
We describe the use of think alouds to examine substantive processes involved in performance on a formative assessment of computational thinking (CT) designed to support self-regulated learning (SRL). Our task design model included three phases of work on a computational thinking problem: forethought, performance, and reflection. The cognitive…
Descriptors: Formative Evaluation, Thinking Skills, Metacognition, Computer Science Education
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Förster, Anna; Dede, Jens; Udugama, Asanga; Förster, Alexander; Helms, Daniel; Kniefs, Louis; Müller, Julia; Gerken, Lars; Richter, Franziska; Kulmann, Jan – Education Sciences, 2021
In this paper, we present our experience with redesigning an introductory computer science course for (electrical) engineers with blended learning concepts. It is a large mandatory course with eight credit points over the course of two semesters, where first year electrical engineers learn how to program with Arduino, C and Python. Additionally,…
Descriptors: Blended Learning, Introductory Courses, Required Courses, Computer Science Education
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Anthonysamy, Lilian; Ah Choo, Koo; Soon Hin, Hew – Malaysian Journal of Learning and Instruction, 2021
Purpose: The rise of digital learning and the prevalence of affordable devices are convenient for young adults who are accustomed to using their digital devices for almost everything such as communication, collaboration, and accessing multiple sources of information for solutions. However, the lack of ability to self-regulate learning processes…
Descriptors: Metacognition, Learning Strategies, Private Colleges, Foreign Countries
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Marco-Bujosa, Lisa M.; Joy, Lois; Sorrentino, Rachel – Community College Journal of Research and Practice, 2021
Community colleges are a vital source of students in the STEM career pipeline. Yet, research indicates that rather than diversifying the STEM workforce, community colleges may be perpetuating gender imbalances. This qualitative phenomenological study was designed to examine differences in male and female experiences in two male-dominated community…
Descriptors: Gender Differences, Gender Bias, Sex Stereotypes, Community Colleges
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Bati, Kaan; Ikbal Yetisir, Mehmet – Computers in the Schools, 2021
Over the past two decades, the integration of computational thinking, as well as information and communications technology within educational programs, has gained importance. A primary obstacle to integrating computational thinking into teaching and learning is the level of teachers' knowledge, skills, and perceptions related to this topic. This…
Descriptors: Middle School Teachers, STEM Education, Knowledge Level, Technological Literacy
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Basu, Satabdi; Rutstein, Daisy W.; Xu, Yuning; Wang, Haiwen; Shear, Linda – Computer Science Education, 2021
Background and Context: In today's increasingly digital world, it is critical that all students learn to think computationally from an early age. Assessments of Computational Thinking (CT) are essential for capturing information about student learning and challenges. When programming is used as a vehicle to foster CT skills, assessment of CT…
Descriptors: Computer Science Education, Programming, Thinking Skills, Logical Thinking
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Scharber, Cassandra; Peterson, Lana; Chang, Yu-Hui; Barksdale, Sarah; Sivaraj, Ramya – Pedagogies: An International Journal, 2021
We recommend the conceptualization of computing as a critical literacy, and ground this conceptualization in considerations of historical and current realities in computing. The frameworks of connected learning and computational participation are recommended as guides for "doing" critical computing literacy. We present the findings from…
Descriptors: Critical Theory, Computer Science Education, Elementary Secondary Education, After School Programs
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Xu, Jennifer; Frydenberg, Mark – Information Systems Education Journal, 2021
Recent years have witnessed a growing demand for business analytics-oriented curricula. This paper presents the implementation of an introductory Python course at a business university and the attempt to elevate the course's relevance by introducing data analytics topics. The results from a survey of 64 undergraduate students of the course are…
Descriptors: Programming Languages, Computer Science Education, Information Systems, Relevance (Education)
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Alhamami, Munassir – Education and Information Technologies, 2021
The policy--English as a medium of instruction (EMI)--in computing education plays an important role in achieving the outcomes of computer science programs. This study examines the effects of Saudi Arabia's English as a medium of instruction (EMI) policy in undergraduate computer science programs at public universities. Study data was collected…
Descriptors: Foreign Countries, Language of Instruction, English (Second Language), Computer Science Education
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Huang, Wendy; Looi, Chee-Kit – Computer Science Education, 2021
Background and Context: Computational thinking (CT) is considered as a valuable literacy for all students, and its inclusion in compulsory schooling could increase the numbers of underrepresented students who pursue computing-related careers. Computer Science Unplugged (CSU) had success in making computer science (CS) accessible to K-12 students…
Descriptors: Computer Science Education, Programming, Thinking Skills, Skill Development
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