A Comparative Evaluation on Methods of Teaching Computer Programming

Adnan, Asmalinda; Romli, Rohaida

doi:10.1007/978-3-030-98741-1_47

Cited by 4 publications

(1 citation statement)

References 52 publications

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“…This transition period needs to be realized by the teacher and facilitate it well so that the process runs smoothly. The results of the research showed that innovative pedagogic approaches that can be carried out at this time are (1) presenting problem-solving activities, (2) connecting material with real-world contexts, and (3) integrating multimedia in learning (Adnan & Romli, 2022;Febrianti et al, 2021;Ulyna et al, 2019). Experts state that many advantages are obtained through the use of multimedia in learning.…”

Section: Introductionmentioning

confidence: 99%

Trapezoid Multimedia with Visual Thinking Approach to Enhance Achievement of 7th Grade Students

Suarsana,

Nurjanah

2023

J. Educ. Technol.

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The main factual error made by students in solving trapezium problems is the misunderstanding of concepts and principles. Trapezium concepts and principles presented with visual representations may reduce complexity and abstractness compared with relying solely on verbal representations. This study aimed at developing a multimedia trapezium with a visual thinking approach for 7th grade students. This research was development research with 4D design (define, design, develop disseminate). In this first year, research is focused on determining media feasibility based on expert validation, practicality trials, and effectiveness. The subjects involved were material experts, media experts and ten students. Data were collected using validation sheets, questionnaires as well as tests, and analyzed using descriptive statistics. The results of the data analysis showed that the level of feasibility in terms of material experts and media experts were 92% and 88% respectively with the Very Valid category. The practicality and effectiveness test results were 83.7% and 78% in the practical and effective category. Because the media met the valid, practical, and effective criteria, it can be said that the media is suitable to be applied in trapezoidal learning in 7th grade. The implication of implementing visual thinking approach in developing multimedia will be able to enhance students’ achievement.

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Section: Introductionmentioning

confidence: 99%

Trapezoid Multimedia with Visual Thinking Approach to Enhance Achievement of 7th Grade Students

Suarsana,

Nurjanah

2023

J. Educ. Technol.

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Teaching Strategies for Programming in Massive University Settings

Dapozo,

Greiner,

Petris

et al. 2024

Communications in Computer and Information Science

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A Sentiment Analysis Model for Electroencephalogram Signals of Students in Universities Using a Convolutional Neural Network and Support Vector Machine Models

FAN,

ZHANG,

YANG

2023

J. Mech. Med. Biol.

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Sentiment analysis in teaching evaluation has significant implications. By analyzing students’ sentiments toward instructors, educational institutions can gain valuable insights into teaching effectiveness. These data can guide curriculum development, instructional improvements, and faculty training initiatives. Positive sentiment indicates effective teaching methods, engagement, and student satisfaction; negative sentiment flags areas that need attention. Sentiment analysis can help identify patterns, trends, and outliers, aiding in targeted interventions and personalized support. It also enables comparisons across different courses, instructors, and departments. However, it is crucial to ensure the accuracy and fairness of sentiment analysis algorithms, considering potential biases and the contextual nature of the feedback. This study proposes a sentiment classification model CNN–SVM that combines a convolutional neural network (CNN) and a support vector machine (SVM). Taking students majoring in art in comprehensive colleges and universities as the research object, by collecting the electroencephalogram (EEG) signals of students during teaching evaluation. CNN–SVM is used as the emotional analysis model to obtain the emotional analysis of teaching evaluation results. EEG is a typical physiological signal, and data based on this signal can more truly reflect student emotions. The adaptive CNN feature extraction function and the super generalization classification performance of SVM can reduce the individual differences and data noise between data, thereby improving sentiment classification performance. The experimental results demonstrate that using technology to analyze sentiment can assist educational institutions in more properly comprehending the feedback and opinions of students on instruction. With regard to sentiment analysis, the CNN–SVM method that is derived to produce the fusion algorithm has solid performance.

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A Comparative Evaluation on Methods of Teaching Computer Programming

Cited by 4 publications

References 52 publications

Trapezoid Multimedia with Visual Thinking Approach to Enhance Achievement of 7th Grade Students

Trapezoid Multimedia with Visual Thinking Approach to Enhance Achievement of 7th Grade Students

Teaching Strategies for Programming in Massive University Settings

A Sentiment Analysis Model for Electroencephalogram Signals of Students in Universities Using a Convolutional Neural Network and Support Vector Machine Models

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