NPTEL Learning Analytics Tools Week 1 And 2 Assignment Answers 2024
1. An instructor on an online learning platform tracks student interactions and correlates quiz data with final exam performance. What type of analytics is he doing?
Options:
A. Descriptive Analytics
B. Diagnostic Analytics
C. Predictive Analytics
D. Prescriptive Analytics
✅ Answer: B. Diagnostic Analytics
Explanation: The instructor is identifying why students performed well — analyzing relationships between variables. That’s classic diagnostic analytics.
2. In the image depicting the four levels of Analytics, the smallest circle (green) depicts which type of analytics?
Options:
A. Descriptive Analytics
B. Diagnostic Analytics
C. Predictive Analytics
D. Prescriptive Analytics
✅ Answer: A. Descriptive Analytics
Explanation: Descriptive analytics forms the base layer of data analytics, summarizing what happened.
3. Which of the following is NOT true about Educational Data Mining?
Options:
A. It is the process of getting useful insight from data.
B. It includes validating a learner model or a hypothesis about learning.
C. It helps to make recommendations to learners by analyzing the data.
D. It is only a branch of Artificial Intelligence.
✅ Answer: D. It is only a branch of Artificial Intelligence.
Explanation: Educational Data Mining is interdisciplinary — combining AI, data science, education, and statistics. It’s not just a subfield of AI.
4. Plotting a histogram of students’ scores to check distribution is an example of:
Options:
A. Demonstrative Analytics
B. Descriptive Analytics
C. Predictive Analytics
D. Diagnostic Analytics
✅ Answer: B. Descriptive Analytics
Explanation: Histograms describe data distribution, making this a descriptive analysis.
5. “Scaffolding students” or “personalized tutoring” is an example of:
Options:
A. Descriptive Analytics
B. Diagnostic Analytics
C. Predictive Analytics
D. Prescriptive Analytics
✅ Answer: D. Prescriptive Analytics
Explanation: These involve using analytics to recommend actions or paths, which is what prescriptive analytics does.
6. Which of the following is a type of Predictive Analytics?
Options:
A. What is the average score of all students in the CBSE 10th Maths Exam?
B. What will be the performance of a student in the next question?
C. Which courses will the student take in the next semester?
D. What is the average attendance of the class over the semester?
✅ Answer: B and C
Explanation: Predictive analytics deals with forecasting future behavior — like future scores or course enrollments.
7. Pattern Mining is a technique used for:
Options:
A. Descriptive Analytics
B. Diagnostic Analytics
C. Predictive Analytics
D. Prescriptive Analytics
✅ Answer: B. Diagnostic Analytics
Explanation: Pattern mining helps understand why patterns exist — identifying causes of learning outcomes.
8. A teacher conducting remedial classes for underperforming students is applying:
Options:
A. Descriptive Analytics
B. Diagnostic Analytics
C. Predictive Analytics
D. Prescriptive Analytics
✅ Answer: D. Prescriptive Analytics
Explanation: She’s taking informed action based on data — the definition of prescriptive analytics.
9. Fill in the blanks: ______ is concerned with the institution’s business, whereas ______ deals with the students.
Options:
A. Learning Analytics, Individual Intelligence
B. Business Intelligence, Learning Analytics
C. Academic Analytics, Learning Analytics
D. Learning Analytics, Academic Analytics
✅ Answer: C. Academic Analytics, Learning Analytics
Explanation: Academic Analytics = institution-level metrics; Learning Analytics = individual student data.
10. Which of the following is/are used in Descriptive Analytics?
Options:
A. Bar charts
B. Regression analysis
C. Pattern mining
D. Line graphs
✅ Answer: A and D
Explanation: Bar charts and line graphs help summarize and visualize data — core tasks in descriptive analytics.
NPTEL Learning Analytics Tools Week 2 Assignment Answers
1. In a classroom setting, what data can researchers and teachers collect to inform instructional decisions and assess student academic performance?
Options:
A. Students’ mid-sem exam
B. Score in Course-project
C. Assignments completion
D. Students’ extra co-curricular activity
✅ Answer: A, B, C
Explanation: Academic assessments like exams, project scores, and assignment completion directly reflect student learning progress and are crucial for instructional decisions. Co-curricular activities are useful for holistic profiles but not directly related to academic performance analytics.
2. Primary steps to protect ethics and data privacy of the learner include:
Options:
A. Get consent from the participant
B. Anonymize the data and classify it
C. Store the data in a secure place
D. Share the data with participants
✅ Answer: A, B, C
Explanation: Ethical data handling includes informed consent, data anonymization, and secure storage. Sharing data with participants is not unethical but not mandatory and not a standard privacy measure.
3. While designing a study for class 4 students, the most important factor in data collection is:
Options:
A. Record all the interactions with student
B. Get student’s and parent’s consent
C. Students’ parents’ information
D. None of the above is important
✅ Answer: B. Get student’s and parent’s consent
Explanation: Since the participants are minors, ethical research practice requires consent from both students and parents.
4. Which of the following is part of Data Preprocessing?
Options:
A. Identifying other sources of data
B. Flagging erroneous data
C. Dealing with missing data
D. Removing irrelevant attributes
✅ Answer: B, C, D
Explanation: Data preprocessing includes cleaning the data by handling errors, missing values, and removing irrelevant attributes. Identifying data sources is part of data collection planning, not preprocessing.
5. Which of the following are true statements about privacy and ethics in research?
Options:
A. It is someone’s right to keep information about themselves secret
B. It is a basic human right
C. Privacy has social benefits
D. Personal privacy can be exploited for scientific advancement
✅ Answer: A, B, C
Explanation: Privacy is a fundamental right and has societal implications. Using personal data unethically, even for research, violates privacy norms.
6. Arrange in correct order:
Options:
i. Analyze data
ii. Pre-process data
iii. Collect data
iv. Get approval from the Ethics Committee
v. Get participants’ consent
✅ Answer: iv, v, iii, ii, i
Explanation: The proper research sequence is:
- Ethics approval
- Participant consent
- Data collection
- Data preprocessing
- Analysis
7. Which features can be extracted from a MOOC platform?
Options:
A. Time spent on Discussion Forum
B. Score in in-video Quizzes
C. Number of videos watched
D. Extra curriculum activities
✅ Answer: A, B, C
Explanation: MOOC platforms track learning-related activities, not external or offline activities like co-curricular events.
8. Before conducting studies, what information must be provided to participants?
Options:
A. What data will be collected
B. Why and how the data will be collected
C. How the data will be stored
D. Information about other participants
✅ Answer: A, B, C
Explanation: Participants have a right to know what data is collected, why, how, and where it is stored. Sharing information about other participants is unethical.
9. The stage where raw data is converted into actions/events is called:
Options:
A. Data analysis
B. Data logging
C. Data pre-processing
D. Data reporting
✅ Answer: C. Data pre-processing
Explanation: Preprocessing includes transforming raw data into structured formats or labeled events for analysis.
10. In MOOC data, which field identifies user location?
Options:
A. UserID
B. Timestamp
C. IP address
D. Session ID
✅ Answer: C. IP address
Explanation: The IP address is used to infer geographic location of the user during activity tracking.