Enhancing Learning in Introductory Computer Science Courses Through SCALE: An Empirical Study

Verginis, Ilias; Gogoulou, Agoritsa; Gouli, Evangelia; Boubouka, Maria; Grigoriadou, Maria

doi:10.1109/te.2010.2040477

Cited by 23 publications

(8 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…To help students overcome deficiencies and experience success, faculty members are modifying teaching strategies to make instruction relevant and meaningful. Students are given more flexibility in scheduling, assignments, and pacing [35]. Universities failing to recognize and adapt to student needs may suffer declining enrollment as students seek excellence in education elsewhere [36].…”

Section: Benefits Of Interdisciplinary Studiesmentioning

confidence: 99%

Career Readiness and Employment Expectations: Interdisciplinary Freshman Experience

Simpson¹,

Safa²,

Sokolova³

et al. 2019

JBMS

View full text Add to dashboard Cite

The growing concern about employment outcomes adds to existing pressures on students to make career decisions early in the college experience. This study was designed to investigate the alignment of student career readiness obtained through quality programming targeting student success learning outcomes as designed by student affairs practitioners at Texas public institutions to those employers surveyed by The Hart Association for the American Association of College and Universities. This study revealed that there is an alignment between student affairs learning outcomes and employer's expectations for career readiness. The results of this study show a need for common terminology across constituent groups making the student more comfortable in using their co-curricular activities as transferable skills during the interview process. An ideal co-curricular experience that will merge the development of such common langue is an innovative First Year Experience Course as presented in this article.

show abstract

Section: Benefits Of Interdisciplinary Studiesmentioning

confidence: 99%

Career Readiness and Employment Expectations: Interdisciplinary Freshman Experience

Simpson¹,

Safa²,

Sokolova³

et al. 2019

JBMS

View full text Add to dashboard Cite

show abstract

“…In order to better develop design skills, hands-on measurements and communication were stressed. Verginis et al [30] employed a Web-based, adaptive, activity-oriented learning environment (SCALE) in a blended learning setting and trained 175 students for eight weeks. One of the main conclusions was that successful students learned from the feedback from the system, especially when they had initially submitted wrong answers.…”

Section: Teaching Requirements and Programmers' Knowledgementioning

confidence: 99%

Evaluation of a UML-Based Versus an IEC 61131-3-Based Software Engineering Approach for Teaching PLC Programming

et al. 2013

View full text Add to dashboard Cite

A field experiment investigated the evaluation, teaching, and application of two different approaches to automatic control in programmable logic controllers, in particular comparing the Unified Modeling Language (UML) to the classic procedural paradigm (IEC 61131-3). A total of 85 apprentices from a vocational school for production engineering with a specialization in mechatronics took part in the training and the experiment. This paper details the results of the training using both approaches, and the correlations found between the modeling and/or programming performance and cognitive abilities, interest, workload, expertise, and school grades. In general, the results show that students can be trained to carry out authentic programming tasks within one and a half days, even for beginners in programming. The data distinguish the two approaches. Function Block Diagram programming (IEC 61131-3) can be best predicted by the grade in mathematics, programming experience, and cognitive demand. For performance in UML class diagram and state chart modeling, the grade in mathematics plays an even more prominent role; this explains the greater variance in modeling performance in the UML group than in the 61131/Function Block Diagram group. With respect to other findings, the paper concludes that special problem-solving skills and skills for abstract thinking should be taught when teaching UML-based modeling approaches.

show abstract

“…In the last decade, the field of mining such as data mining, web mining, and knowledge mining etc has been rapidly expanded and received much attention to the intelligent computational researchers in machine learning and data mining research. Developing engineering students' learning process and knowledge for a course in engineering education is to build a fundamental link between engineering discipline and theory [1], [2]. Knowledge refers to the theoretical or practical understanding of a subject, which can include information, facts, descriptions, and/or skills acquired through experience or education.…”

Section: Introductionmentioning

confidence: 99%

Knowledge mining for effective teaching and enhancing engineering education

Farid

Sarwar

2012

2012 7th International Conference on Electrical and Computer Engineering

View full text Add to dashboard Cite

In this paper, we introduce a web based learning approach for developing teaching practice and students' knowledge in engineering education, which performs knowledge mining from students' web usage data. We develop an intelligent web application using J2EE that consists both classification and clustering models for mining students' learning activities. The classification model uses decision tree for classifying the learning issues. And clustering model clusters the students into a number of groups so that we can identify each individual student and teach him on his depth of knowledge for a particular engineering course. The weak students need to know the basic fundamental issues of a course and the strong students need to exercise complex problems for developing their conceptual and procedural knowledge of a course in engineering education. The study shows that the proposed learning approach helps the students' learning process to improve their knowledge in engineering education.

show abstract

Enhancing Learning in Introductory Computer Science Courses Through SCALE: An Empirical Study

Cited by 23 publications

References 6 publications

Career Readiness and Employment Expectations: Interdisciplinary Freshman Experience

Career Readiness and Employment Expectations: Interdisciplinary Freshman Experience

Evaluation of a UML-Based Versus an IEC 61131-3-Based Software Engineering Approach for Teaching PLC Programming

Knowledge mining for effective teaching and enhancing engineering education

Contact Info

Product

Resources

About