Search Results - Algorithms. Programming. Failure. Dropout

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  1. 1

    Gamification and Self-Determination Theory in Teaching Computational Thinking: An Experience with Quizizz Software by Santiago, Cynthia Pinheiro, Silva, Antonio Rodrigo dos Santos, Menezes, José Wally Mendonça, Aquino, Francisco José Alves de

    ISSN: 1648-5831, 2335-8971
    Published: Vilnius Institute of Mathematics and Informatics 28.09.2025
    Published in Informatics in education (28.09.2025)
    “…The introductory programming disciplines, which include the teaching of algorithms and computational logic, have high failure and dropout rates…”
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    Journal Article
  2. 2

    Evaluating the effectiveness of educational data mining techniques for early prediction of students' academic failure in introductory programming courses by Costa, Evandro B., Fonseca, Baldoino, Santana, Marcelo Almeida, de Araújo, Fabrísia Ferreira, Rego, Joilson

    ISSN: 0747-5632, 1873-7692
    Published: Elmsford Elsevier Ltd 01.08.2017
    Published in Computers in human behavior (01.08.2017)
    “…The data about high students' failure rates in introductory programming courses have been alarming many educators, raising a number of important questions regarding prediction aspects…”
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    Journal Article
  3. 3

    A Second Experimental Study the Application of a Teaching Plan for the Algorithms Subject in an Undergraduate Course in Computing using Active Methodologies by Garcia, Fabrício Wickey da Silva, Oliveira, Sandro Ronaldo Bezerra, Carvalho, Elielton da Costa

    ISSN: 1648-5831, 2335-8971
    Published: Vilnius Vilniaus Universiteto Leidykla 2023
    Published in Informatics in education (2023)
    “…The contents taught in the programming subjects have a great relevance in the formation of computing students…”
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    Journal Article
  4. 4

    Using Educational Data Mining to Predict Students’ Academic Performance for Applying Early Interventions by Alturki, Sarah, Alturki, Nazik

    ISSN: 2165-3151, 2165-316X
    Published: Santa Rosa Informing Science Institute 2021
    “…Aim/Purpose: One of the main objectives of higher education institutions is to provide a high-quality education to their students and reduce dropout rates…”
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    Journal Article
  5. 5

    Predicting Students Success in Blended Learning—Evaluating Different Interactions Inside Learning Management Systems by Buschetto Macarini, Luiz Antonio, Cechinel, Cristian, Batista Machado, Matheus Francisco, Faria Culmant Ramos, Vinicius, Munoz, Roberto

    ISSN: 2076-3417, 2076-3417
    Published: Basel MDPI AG 01.12.2019
    Published in Applied sciences (01.12.2019)
    “…Algorithms and programming are some of the most challenging topics faced by students during undergraduate programs…”
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    Journal Article
  6. 6

    An Assessment of the Teaching-Learning Methodologies Used in the Introductory Program-ming Courses at a Brazilian University by Edna Dias Canedo, Giovanni Almeida Santos, Leticia Lopes Leite

    ISSN: 1648-5831, 2335-8971
    Published: Vilnius Institute of Mathematics and Informatics 01.01.2018
    Published in Informatics in education (01.01.2018)
    “…The teaching-learning methodology adopted in the Introduction to Computer Science classes may be a process that makes it difficult to understand the principles of programming language…”
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    Journal Article
  7. 7

    JOINT for large-scale single-cell RNA-sequencing analysis via soft-clustering and parallel computing by Cui, Tao, Wang, Tingting

    ISSN: 1471-2164, 1471-2164
    Published: London BioMed Central 11.01.2021
    Published in BMC genomics (11.01.2021)
    “… However, the high frequency of gene expression detection failures in scRNA-Seq data make it challenging to achieve reliable identification of cell-types and Differentially Expressed Genes (DEG…”
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    Journal Article
  8. 8

    Prediction of Students' Academic Performance in the Programming Fundamentals Course Using Long Short-Term Memory Neural Networks by Vives, Luis, Cabezas, Ivan, Vives, Juan Carlos, Reyes, Nilton German, Aquino, Janet, Condor, Jose Bautista, Altamirano, S. Francisco Segura

    ISSN: 2169-3536, 2169-3536
    Published: Piscataway IEEE 01.01.2024
    Published in IEEE access (01.01.2024)
    “… to avoid desertion and failure. One of the biggest challenges to predicting student performance is presented in the course "Programming Fundamentals" of Computer Science, Software Engineering, and Information Systems Engineering…”
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    Journal Article
  9. 9

    Recent Studies About Teaching Algorithms (CS1) and Data Structures (CS2) for Computer Science Students by Silva, Davi Bernardo, Aguiar, Rafael de Lima, Dvconlo, Diogo Steinke, Silla, Carlos N.

    ISSN: 2377-634X
    Published: IEEE 01.10.2019
    “… However, teaching programming is a challenging task, with frequently high dropout and failure rates…”
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    Conference Proceeding
  10. 10

    Use of active methodologies for the development of a teaching plan for the algorithms subject by Da Silva Garcia, Fabricio Wickey, Da Costa Carvalho, Elielton, Bezerra Oliveira, Sandro Ronaldo

    ISSN: 2377-634X
    Published: IEEE 13.10.2021
    “…This Research to Practice Full Paper presents that the contents seen in introductory programming subjects, such as that of algorithms or equivalent subjects, provide a basis for further programming…”
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    Conference Proceeding
  11. 11

    Work in progress - using lego mindstorms and robolab as a mean to lowering dropout and failure rate in programming course by Mota, M.I.G.

    ISBN: 9781424410835, 1424410835
    ISSN: 0190-5848
    Published: IEEE 01.10.2007
    “… This course a has high drop out or failure rate since most students have difficulties in creating structured algorithms and learning a high level programming language…”
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    Conference Proceeding
  12. 12

    Machine Learning-Based Classification of Programming Logic Understanding Levels by Mouse-Tracking Heatmaps by Khaesawad, Attaporn, Fukuchi, Yosuke, Yem, Vibol, Nishiuchi, Nobuyuki

    ISSN: 2169-3536, 2169-3536
    Published: Piscataway IEEE 2025
    Published in IEEE access (2025)
    “… However, such courses tend to result in substantially high failure and dropout rates. Some studies have proposed solutions such as peer learning and personalized feedback, but challenges persist…”
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    Journal Article
  13. 13

    Teaching computer programming: impact of Brown and Wilson's didactical principles by Belmar, Hector

    ISSN: 2624-9898, 2624-9898
    Published: Frontiers Media S.A 22.05.2023
    Published in Frontiers in computer science (Lausanne) (22.05.2023)
    “… The problem arises from the failure and dropout rates of students in computer programming in computer science careers in INACAP and the consequent interest in promoting better learning…”
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    Journal Article
  14. 14

    Workshop: Visual programming as a bridge to textual programming: managing an integrated Web course with automatic assessment by Brandao, Leonidas de Oliveira, Felix, Igor Moreira, Souza, Lucas Mendonca de, Brandao, Anarosa Alves Franco

    ISSN: 2377-634X
    Published: IEEE 01.10.2019
    “… Nevertheless, the acquisition of programming skills is not an easy task. This fact is corroborated by the literature that report alarming failure and dropout rates in CS0…”
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    Conference Proceeding
  15. 15

    An improved adaptive personalization model for instructional video-based e-learning environments by Sanal Kumar, T S, Thandeeswaran, R.

    ISSN: 2197-9987, 2197-9995
    Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2025
    “… dropout and failure rates. To address this issue, this paper proposed a learning style-enabled novel rule-based personalized instructional video delivery model for programming education…”
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    Journal Article
  16. 16

    Using Association Rule Mining Algorithm to Improve the Order of Content Delivery in CS1 Course by Kaur, Rupinder, Brown, Tamaike, Walia, Gursimran, Singh, Maninder, Reddy, Mourya

    ISSN: 2377-634X
    Published: IEEE 01.10.2019
    “… This traditional approach of teaching a course in an unstructured way leads to high failure and dropout rate in CS1 course…”
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    Conference Proceeding
  17. 17

    New Approach to Enhancing Student Performance Prediction Using Machine Learning Techniques and Clickstream Data in Virtual Learning Environments by Khoudi, Zakaria, Hafidi, Nasereddine, Nachaoui, Mourad, Lyaqini, Soufiane

    ISSN: 2661-8907, 2662-995X, 2661-8907
    Published: Singapore Springer Nature Singapore 05.02.2025
    Published in SN computer science (05.02.2025)
    “… This need is particularly urgent given the high rates of failure and dropout that threaten educational outcomes…”
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    Journal Article
  18. 18

    The use of learning objects for teaching computer programming by Begosso, Luiz Carlos, Begosso, Luiz Ricardo, Ribeiro, Alexandre, Martins dos Santos, Rafaela, Begosso, Raissa Helena

    ISBN: 9781479984541, 147998454X
    Published: IEEE 01.10.2015
    “… Teaching algorithms and programming concepts for first year students has always been a great challenge for universities, new Computer Science students usually have difficulties in understanding…”
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    Conference Proceeding Journal Article
  19. 19

    A Hybrid Approach Using Decision Tree and Multiple Linear Regression for Predicting Students’ Performance Based on Learning Progress and Behavior by Dang, Tran Khanh, Nguyen, Huu Huong Xuan

    ISSN: 2661-8907, 2662-995X, 2661-8907
    Published: Singapore Springer Nature Singapore 25.07.2022
    Published in SN computer science (25.07.2022)
    “…Analyzing factors related to learning progress such as coursework scores, how many times students were occasion, plagiarism or failure, and time spent at the library helps to determine factors…”
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    Journal Article
  20. 20

    Profile-oriented algorithms teaching: A proposed methodology by Moreira, Fernando, Ferreira, Maria Joao

    ISSN: 2166-0727
    Published: AISTI 01.06.2015
    “… As a result of the difficulty in obtaining these competences, there are high failure and dropout rates in courses of related to this field of study…”
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    Conference Proceeding