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How can you measure the effectiveness of mobile learning in higher education?

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Mobile learning, or m-learning, is the use of mobile devices such as smartphones, tablets, and laptops to access educational content and activities anytime and anywhere. M-learning can enhance the flexibility, accessibility, and personalization of learning experiences for higher education students, especially in the context of online or blended courses. However, how can you measure the effectiveness of mobile learning in higher education? What are the indicators, methods, and tools that can help you evaluate the impact of m-learning on student outcomes and satisfaction? In this article, we will explore some of the key aspects of measuring m-learning effectiveness and provide some practical tips and examples.

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CHARAK RAY

ASSESSOR & TRAINER@SKILL INDIA; CHAIRMAN-CUM-DIRECTOR@ABCD CLASSES; PROMOTER-CUM-CONSULTANT@ABCD CONSULTING; MANAGING…
John Healy

Simplifying TOEFL Speaking score prediction with scalable AI.
Prof. Dr. Dipak Tatpuje

Researcher | Inventor of Internationally replicated TAILOR-C Model of EE | Experimental Educator

1 Define your goals and objectives

The first step in measuring m-learning effectiveness is to define your goals and objectives for using mobile devices in your course or program. What are the expected learning outcomes and competencies that you want your students to achieve through m-learning? How do they align with the course or program curriculum and standards? How do they relate to the specific characteristics and needs of your target audience? By clarifying your goals and objectives, you can establish a clear purpose and direction for your m-learning strategy and design.

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CHARAK RAY

ASSESSOR & TRAINER@SKILL INDIA; CHAIRMAN-CUM-DIRECTOR@ABCD CLASSES; PROMOTER-CUM-CONSULTANT@ABCD CONSULTING; MANAGING DIRECTOR@ROYAL FRESH LLP; SENIOR SUBJECT MATTER EXPERT@CHEGG INDIA; PGT@KIITIS
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Measuring the effectiveness of mobile learning in higher education is crucial for evaluating the impact of this technology on learner's learning outcomes and identifying areas for improvement. Here's a comprehensive approach to measuring the effectiveness of mobile learning: 1. Define Goals and Objectives 2. Choose an Evaluation Framework and Model 3. Select Evaluation Methods and Tools 4. Implement Your Evaluation Plan and Collect Data 5. Analyze Data and Interpret Results 6. Draw Conclusions and Make Recommendations

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John Healy

Simplifying TOEFL Speaking score prediction with scalable AI.
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Before diving into mobile learning, it's absolutely crucial to identify the expected learning outcomes and competencies for students. In our case, we aim to help students improve their TOEFL Speaking scores, enhance their English language proficiency, and boost their awareness of TOEFL-related speaking data. These goals align with the broader educational objectives of improving language skills, which are integral to the academic and professional success our users seek.

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Prof. Dr. Dipak Tatpuje

Researcher | Inventor of Internationally replicated TAILOR-C Model of EE | Experimental Educator
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Measuring m-learning effectiveness is possible with following design strategy: 1. Interactive contents designed to measure the with the competency. 2. Use of Instructional Technology to design the activities based on the descriptive contents. 3. Competency mapping for the contents. 4. Identification of the contexts for the m-learning and 5. Content relevance to the cognitive aspect.

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Rüstem Temriyev

A1-C1 Online ?ngilizce E?itimleri | ??renmeyi ??renme | Verimli ?al??ma | Bilgi Giri?imcili?i
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Student Performance: Analyze grades and test scores to assess knowledge acquisition. Engagement Metrics: Track usage statistics like login frequency, session duration, and app interaction. Feedback Surveys: Collect student feedback on usability, engagement, and perceived learning benefits. Retention Rates: Observe course completion and retention rates. Comparative Analysis: Compare outcomes with traditional learning methods. Skill Application: Assess the practical application of learned skills in real-world scenarios. Focus Groups: Conduct focus groups to gain deeper insights into student experiences and challenges. These methods provide comprehensive insights into mobile learning's impact on student learning and engagement.

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Gifty Oku

Academic Principal @ North Legon Little Campus | Strategic Leadership
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One thing I have found helpful in measuring the effectiveness of mobile learning is: . Students attitudes and perception . Students self reported motivation . Environment . Assessing the usability and . The value and results.

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2 Choose your evaluation framework and model

The next step is to choose an evaluation framework and model that can guide your data collection and analysis. A framework is a set of principles, criteria, and dimensions that can help you organize and structure your evaluation. A model is a specific approach or method that can help you implement your evaluation. There are many different frameworks and models that can be used for m-learning evaluation, depending on your context and focus. For example, you can use the Kirkpatrick model to measure the four levels of evaluation: reaction, learning, behavior, and results. You can also use the SAMR model to measure the level of technology integration: substitution, augmentation, modification, and redefinition.

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John Healy

Simplifying TOEFL Speaking score prediction with scalable AI.
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At My Speaking Score, we leverage ETS's SpeechRater scoring engine for our mobile (and desktop) learning evaluation. This engine provides a well-established framework and model for assessing speaking proficiency. This model includes a comprehensive evaluation of various aspects of speaking, including pronunciation, fluency, and vocabulary usage. It helps us assess how well our platform enhances students' speaking skills, ultimately leading to improved language assessment and proficiency.

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Prof. Dr. Dipak Tatpuje

Researcher | Inventor of Internationally replicated TAILOR-C Model of EE | Experimental Educator
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The evaluation process in m-learning can be adopted from the Project Based Learning (PBL). It's useful to know minimum competency and levels achieved by the learner.

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3 Select your evaluation methods and tools

The third step is to select your evaluation methods and tools that can help you collect and analyze the data that you need to measure m-learning effectiveness. Evaluation methods can be quantitative or qualitative, formative or summative, direct or indirect, depending on the type and source of data that you want to obtain. Evaluation tools can be surveys, interviews, focus groups, observations, tests, quizzes, portfolios, analytics, etc., depending on the format and medium of data that you want to use. You should select your methods and tools based on your evaluation framework and model, your goals and objectives, and your available resources and constraints.

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Sebastián Martín Gómez

Doctor en Educación y profesor universitario de Tecnología Educativa. Formador y creador de contenido sobre competencia digital e IA. Nominado a los VIII Premios EDUCA ABANCA 2024 a Mejor Docente de Espa?a.
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La clave para evaluar la eficacia del m-learning va más allá de la elección de métodos y herramientas; implica considerar la adaptabilidad y la contextualización. Dada la diversidad de contextos de aprendizaje, es crucial personalizar los métodos y herramientas según las características específicas de los estudiantes, el contenido y las metas. Integrar la retroalimentación continua de los usuarios en el dise?o de la evaluación puede proporcionar perspectivas valiosas para mejorar la efectividad del m-learning a medida que evoluciona. Además, explorar tecnologías emergentes, como análisis de datos y aprendizaje automático, puede enriquecer las capacidades de evaluación para obtener insights más profundos y personalizados sobre el rendimiento

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4 Implement your evaluation plan and collect data

The fourth step is to implement your evaluation plan and collect the data that you need to measure m-learning effectiveness. You should implement your evaluation plan according to your predefined timeline, budget, and ethical standards. You should also ensure that you have the informed consent and participation of your students and other stakeholders involved in the evaluation. You should collect the data using your selected methods and tools, and store and manage them securely and systematically.

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5 Analyze your data and interpret your results

The fifth step is to analyze your data and interpret your results to measure m-learning effectiveness. You should analyze your data using appropriate techniques and software, such as descriptive statistics, inferential statistics, content analysis, thematic analysis, etc., depending on the nature and purpose of your data. You should interpret your results using your evaluation framework and model, your goals and objectives, and your relevant literature and evidence. You should also identify the strengths and weaknesses of your m-learning strategy and design, and the factors that influenced your results.

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6 Report and communicate your findings and recommendations

The final step is to report and communicate your findings and recommendations to measure m-learning effectiveness. You should report and communicate your findings and recommendations in a clear, concise, and accurate manner, using appropriate formats and channels, such as reports, presentations, infographics, podcasts, etc., depending on your audience and purpose. You should also provide evidence and examples to support your findings and recommendations, and acknowledge the limitations and implications of your evaluation. You should also seek feedback and suggestions from your students and other stakeholders, and use them to improve your m-learning strategy and design.

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7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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Krishnendu Sarkar

New Higher Education next
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We can consider a modern Learning Management System (LMS) that supports mobile app as a single window to resources and features including mobile learning. Some upgrades might be required for LMS's transformation from state-of-art to smart. Where, personal experiences can attain greater heights with curated data-backed mobile learning, appraisals, recommendations, and community outreach among others.

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How can you measure the effectiveness of mobile learning in higher education?

1

2

3

4

5

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7

1 Define your goals and objectives

2 Choose your evaluation framework and model

3 Select your evaluation methods and tools

4 Implement your evaluation plan and collect data

5 Analyze your data and interpret your results

6 Report and communicate your findings and recommendations

7 Here’s what else to consider

Educational Technology

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How can you measure the effectiveness of mobile learning in higher education?

1

2

3

4

5

6

7

1 Define your goals and objectives

2 Choose your evaluation framework and model

3 Select your evaluation methods and tools

4 Implement your evaluation plan and collect data

5 Analyze your data and interpret your results

6 Report and communicate your findings and recommendations

7 Here’s what else to consider

Educational Technology

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