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How can predict academic performance of student based on digital learning behaviour? 


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To predict academic performance based on digital learning behavior, several approaches have been proposed in the literature. One approach is to use data mining models that consider the weight of different features in academic performance prediction. These models measure the correlationship between each feature and academic performance and assign weights accordingly . Another approach is to employ machine learning algorithms, such as random forest, Bayesian ridge, adaptive boosting, and extreme gradient boosting, to generate predictions based on e-learning data . Additionally, the analysis of online learning behaviors, such as the number of completed assignments, live viewing rate, and replay viewing rate, has been found to be important in predicting academic performance . By combining these approaches, it is possible to accurately predict academic performance based on digital learning behavior and provide targeted support to students at risk of academic failure .

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The paper proposes using machine learning techniques to predict academic performance based on digital learning behavior data collected from various sources on a university campus.
The paper proposes using machine learning models to predict academic performance based on online learning behaviors such as the number of completed assignments, live viewing rate, and replay viewing rate.
The paper uses regression machine learning algorithms, such as random forest and extreme gradient boosting, to predict students' academic performance based on e-learning data.
The paper proposes a data mining model that uses behavioral data from online education platforms to predict academic performance of undergraduates. The model considers the weight of different features and uses support vector machine (SVM) for prediction.
The paper proposes a data mining model that uses behavioral data from online education platforms to predict academic performance of undergraduates. The model measures the correlationship between each feature and academic performance and assigns weights to the features accordingly. The model is constructed based on the weighted multi-feature and support vector machine (SVM).

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Impact of technology on the academic performance of students?4 answersThe impact of technology on the academic performance of students is a complex issue. While technology can serve as a facilitator for learning outcomes, improper utilization of technology can hinder effective learning. Mobile phone usage has both positive and negative effects on academic performance, with factors such as gender, age, and connection with the opposite sex influencing outcomes. A study conducted in Uruguay found that technology has a positive impact on the educational environment, improving effectiveness, didactic methods, and academic performance. Another study focused on the personal, emotional, and financial impact of technology on academic performance, with respondents strongly agreeing on the positive effects. However, excessive use of technology at school can lead to lower academic performance, highlighting the need for policy makers and instructors to ensure that technology does not interfere with the learning process.
What are the effects of using digital learning tools on the academic performance?4 answersThe use of digital learning tools has been found to have positive effects on academic performance. Research has shown that incorporating digital resources as part of an active learning proposal can improve the academic performance of future teachers and increase student engagement and participation. Additionally, the utilization of digital textbooks in classrooms has been found to improve students' academic outcomes, academic interest, and learning skills, particularly for low-achieving students. The development of digital technology has also led to the implementation of web-based learning models, which have been effective in improving students' academic performance. These findings highlight the potential of digital learning tools in enhancing academic performance and supporting effective teaching and learning practices.
What are the key academic behaviors that predict student success?3 answersKey academic behaviors that predict student success include exam taking behavior patterns, learning strategies and behaviors such as help-seeking, learning from errors, and reviewing previous mastered topics, and academic behaviors such as academic mindsets, academic perseverance, and social skills. These behaviors have been found to significantly impact student performance and achievement in various studies. By identifying and understanding these behaviors, educators and institutions can better support students in their learning journey and improve their chances of success.
How to improve students digital literacy correlates to their academic performance?5 answersImproving students' digital literacy is crucial for enhancing their academic performance. Research has shown that students' digital literacy competency positively correlates with their ability to perform academic presentation strategies in a digital literacy environment. Using android-based e-modules has been found to significantly enhance students' digital literacy, specifically in subjects like chemical bonding. Additionally, the implementation of online learning systems has been shown to improve students' literacy skills, including their ability to explain scientific phenomena, identify scientific issues, and interpret and use scientific evidence. Furthermore, there is a high positive correlation between students' digital literacy and their academic writing performance in English as a Foreign Language (EFL) instruction. However, the effect of digital literacy on students' overall academic performance, as measured by their CGPA, appears to be insignificant. Therefore, to improve students' digital literacy and its correlation to academic performance, it is recommended to focus on specific subject areas, utilize effective digital learning tools, and integrate digital literacy skills into language instruction.
What is the relationship between digital literacy and students' academic performance?4 answersDigital literacy has a positive relationship with students' academic performance. It has been found that digital literacy improves students' abilities in learning, collaborating, and facing challenges in the digital age, resulting in better academic performance. Additionally, foreign graduate students' digital literacy competency has been found to positively impact their performance in academic presentations. Furthermore, the study suggests that students' information literacy skills, which are a component of digital literacy, are fairly good and contribute to their academic activities. Moreover, the study conducted among Vietnamese students found that higher levels of digital competence, including skills in understanding and using information, technology and computers, communication via e-learning, and effective use of images, are associated with higher study performance. Therefore, it can be concluded that digital literacy plays a significant role in students' academic performance.
What are the effects of digital feedback on student academic performance?4 answersDigital feedback has been found to have various effects on student academic performance. One study found that digital written feedback provided through a learning management system positively influenced students' learning experience and attitude toward learning, and predicted perceived achievement. Another study showed that an auto-feedback activity improved students' capacity for self-regulation and ultimately their academic performance. Additionally, research conducted at an online public school found that students who received digital feedback from teachers showed improvement in their task completions. Furthermore, personalized feedback delivered via digital score reports was found to have a positive impact on student performance, with students who reviewed the reports performing better on final exams. These findings suggest that digital feedback can play a significant role in enhancing student academic performance.

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