CO-PO Mapping with ChatGPT: Enhancing Curricula in 5 Key Steps (Sample ChatGPT Prompts Provided)

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co-po mapping

परिचय / Introduction

Welcome to our blog on CO-PO Mapping, a powerful method to enhance curricula and ensure educational excellence. In this blog, we will explore the concept of CO / Course Outcome and PO / Program Outcome, the essential criteria for effective CO-PO mapping, and how ChatGPT can be a game-changer in this process. Whether you are an educator, instructional designer, or just someone interested in improving education, this blog will provide you with valuable insights. Let’s get started!

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साथीयों, CO-PO मैपिंग के बारे में हमारे ब्लॉग में आपका स्वागत है, यह एक शक्तिशाली तकनीक है जो पाठ्यक्रम को सुधारने और शिक्षा में उत्कृष्टता सुनिश्चित करने के लिए काम आती है। इस ब्लॉग में, हम CO / Course Outcome और PO / Program Outcome के बारे में जानकारी, अच्छी CO-PO मैपिंग के लिए महत्वपूर्ण मापदंड, और ChatGPT की एक मिसाल देंगे। चाहे आप एक शिक्षक, एक इंटरेस्टेड डिज़ाइनर हों, या सिर्फ शिक्षा में सुधार के इरादे से हों, यह ब्लॉग आपको मूल्यवान जानकारी प्रदान करेगा। चलिए शुरू करते हैं!

Section 1: What is CO? / पाठ्यक्रम संबंधित आउटकम

(Important read: Course Outcome with ChatGPT Mastery: 5 Proven Steps to Success with Sample Prompts / चैटजीपीटी का उपयोग करके पाठ्यक्रम संबंधित आउटकम उत्पन्न करें (सैंपल प्रॉम्प्ट्स प्रदान किए गए))

CO or Course Outcome refers to specific and measurable statements that define what students are expected to achieve by the end of a course. These outcomes are crucial in guiding the course design, delivery, and assessment processes. They help educators align their teaching strategies with the intended learning outcomes and ensure clarity in educational objectives.

सीओ या कोर्स आउटकम पाठ्यक्रम के अंत तक छात्रों की उम्मीद किए जाने वाले विशिष्ट और मापनीय कथनों को संदर्भित करता है। ये उत्कृष्टता विकास, पाठ्यक्रम की वितरण, और मूल्यांकन प्रक्रिया को निर्देशित करने में महत्वपूर्ण होते हैं। इनसे शिक्षक अपने शिक्षण रणनीतियों को इच्छित शिक्षा उत्तरदायित्वों के साथ संरेखित करते हैं और शिक्षा के उद्देश्यों में स्पष्टता सुनिश्चित करते हैं।

Section 2: What is PO? / प्रोग्राम संबंधित आउटकम

PO or Program Outcome represents the overall achievements expected of students upon completing a program of study. Unlike CO, which focuses on individual courses, PO addresses the broader skills and knowledge that learners should gain throughout their educational journey. It helps educational institutions assess the effectiveness of their programs and ensures that graduates are equipped with the desired competencies.

पीओ या प्रोग्राम आउटकम एक शिक्षा कार्यक्रम को समाप्त करने पर छात्रों की यात्रा के दौरान उनसे आशायें जुड़ी खुलासे को प्रतिनिधित्व करता है। सीओ के विपरीत, जो व्यक्तिगत पाठ्यक्रमों पर ध्यान केंद्रित करता है, पीओ शिक्षार्थियों को उनके शिक्षात्मक सफ़र में प्राप्त होने वाले व्यापक कौशल और ज्ञान से संबंधित है। यह शिक्षण संस्थानों को उनके कार्यक्रमों के प्रभाव की मूल्यांकन करने में मदद करता है और सुनिश्चित करता है किस्नातकवर्गीय छात्रों को वांछित क्षमताएँ प्रदान की जाती हैं।

वाशिंगटन समझौते के आधार पर राष्ट्रीय मान्यता बोर्ड द्वारा प्रदान किए गए प्रोग्राम संबंधित आउटकम (पीओ):

Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

Problem Analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

Design/Development of Solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations

Conduct Investigations of Complex Problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.

Modern Tool Usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.

The Engineer and Society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.

Environment and Sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

Individual and Team Work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

Project Management and Finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

Life-long Learning: Recognize the need for, and have the preparation and ability to engage in independent and lifelong learning in the broadest context of technological change.

Section 3: CO-PO Mapping Criteria / सीओ-पीओ मैपिंग के मापदंड

To achieve successful CO-PO mapping, certain criteria must be considered. First, the COs should align with the POs, ensuring that the course-specific outcomes contribute to achieving the broader program objectives. Second, the COs should be specific, measurable, attainable, relevant, and time-bound / SMART. This ensures that the learning outcomes are well-defined and can be effectively assessed.

सफल सीओ-पीओ मैपिंग को प्राप्त करने के लिए कुछ मापदंडों का ध्यान रखना आवश्यक होता है। पहले, सीओ को पीओ के साथ मेल खाना चाहिए, जिससे यह सुनिश्चित होता है कि पाठ्यक्रम के विशिष्ट उत्कृष्टता योजना के प्रोग्राम के मूल उद्देश्यों को पूरा करने में योगदान करता है। दूसरे, सीओ को विशिष्ट, मापनीय, प्राप्तियोग्य, संबंधित, और समयबद्ध / SMART बनाना चाहिए। इससे यह सुनिश्चित होता है कि शिक्षा उत्कृष्टता अभिकरणों को स्पष्ट रूप से परिभाषित किया गया है और इसका मूल्यांकन करना संभव होता है।

Section 4: ChatGPT Prompt for CO-PO Mapping – Example 1 / सीओ-पीओ मैपिंग के लिए चैटजीपीटी प्रॉम्प्ट – उदाहरण 1

Now, let’s see how ChatGPT can assist in CO-PO mapping with an example. Imagine you are an educator designing a course on “Engineering Mathematics-I” of I semester B. Tech. all branches. You want to create COs that align perfectly with the program’s POs and are well-defined for assessment. Using ChatGPT, you can generate prompts like:

(Use the ChatGPT Prompt to obtain the COs based on Bloom’s taxonomy)

The output form ChatGPT may look like this (The structure and table will remain same the text may change based on previous chat history)

ChatGPT response:

Sure, here’s a table with one course outcome for each unit, categorized according to Bloom’s taxonomy:

Unit NumberCourse OutcomeBloom’s Taxonomy Level
Unit-ICO1: Demonstrate an understanding of matrices, linear transformations, and eigenvalues.Understanding
Unit-IICO2: Apply Taylor’s theorem to approximate functions using Taylor’s and McLaurin’s series.Applying
Unit-IIICO3: Analyze functions of two variables, find partial derivatives, and identify critical points.Analyzing
Unit-IVCO4: Solve ordinary differential equations of various types, including higher-order linear equations.Applying
Unit-VCO5: Utilize Beta and Gamma functions to evaluate double and triple integrals for area and volume applications.Applying

After the completion of the course, the students will be able to:

CO1: Demonstrate an understanding of matrices, real vector spaces, linear transformations, and eigenvalues. (Bloom’s Taxonomy: Understanding)

CO2: Apply Taylor’s theorem to approximate functions using Taylor’s and McLaurin’s series. (Bloom’s Taxonomy: Applying)

CO3: Analyze functions of two variables, find partial derivatives, and identify critical points. (Bloom’s Taxonomy: Analyzing)

CO4: Solve ordinary differential equations of various types, including higher-order linear equations. (Bloom’s Taxonomy: Applying)

CO5: Utilize Beta and Gamma functions to evaluate double and triple integrals for area and volume applications. (Bloom’s Taxonomy: Applying)

After Obtaining the course outcomes, we shall try to kind the keywords that align with program outcomes. For this use the sample prompt given below (change the Cos in prompt based on the previous ChatGPT response):

The output form ChatGPT may look like this (The structure and table will remain same the text may change based on previous chat history)

ChatGPT response:

Here’s the table of CO-PO mapping for the given Course Outcomes (COs) and Program Outcomes (POs):

Below is the table showing the association between Course Outcomes (CO) and Program Outcomes (PO) along with the keywords from each PO and the total number of associated keywords for each CO:

COKeywords from POTotal KeywordsAssociated POs, Keywords, and Keyword Count for each PO
CO1Mathematics; Science; Engineering fundamentals; Engineering specialization; Complex engineering problems; Problem-solving; Technical knowledge; Application; Analysis; Design; Innovation; Technical skills; Calculations; Scientific principles; Specialized knowledge; Engineering principles; Technical expertise; Technical proficiency; Technical application; Problem-solving skills; Problem-solving techniques; Technical understanding; Engineering concepts; Engineering principles; Engineering applications; Engineering solutions; Technical proficiency; Mathematical modeling; Technical competency; Technical proficiency; Engineering methodology29PO01: 29
CO2Complex engineering problems; Analyze; Mathematics; Problem formulation; Critical thinking; Scientific principles; Analytical skills; Hypothesis testing; Technical evaluation; Technical research; Technical conclusions; Problem identification; Analytical thinking; Mathematical reasoning; Scientific reasoning; Engineering principles; Engineering concepts; Scientific analysis; Technical analysis; Evidence-based analysis; Logical conclusions; Technical expertise; Technical knowledge; Technical skills25PO01: 2, PO02: 25
CO3Complex engineering problems; Design solutions; Problem-solving; Innovation; Design principles; Design process; Design requirements; Safety considerations; Cultural sensitivity; Societal impact; Environmental impact; Sustainable design; Ethical design; Human factors; User-centered design; Functional requirements; Technical feasibility; Design implementation; Design evaluation; Design optimization; Design standards; Design constraints; Design integration; Design documentation; Design review; Design validation; Design verification26PO01: 3, PO03: 26
CO4Complex problems; Problem-solving; Mathematical modeling; Research methods; Data analysis; Engineering theories; Optimization techniques; Technical analysis; Technical evaluation; Technical validation; Research ethics; Computational analysis; Design principles; Design optimization; Design validation; Design verification; Computational tools; Simulation techniques; Statistical methods; Mathematical methods; Data visualization; Experimental design; Sensitivity analysis; Error analysis; Technical documentation; Technical synthesis; Technical reporting29PO01: 4, PO04: 29
CO5Technical tools; Technical skills; Technical proficiency; Technical knowledge; Technical understanding; Technical application; Technical expertise; Technical competency; Technical proficiency; Technical application; Technical integration; Technical documentation; Technical reporting; IT infrastructure; IT resources; IT applications; IT solutions; Technical documentation; Technical reporting; Technical communication22PO01: 5, PO05: 22

Note:

1. The “Keywords from PO” column shows the keywords extracted from the Program Outcomes that are associated with each Course Outcome.

2. The “Total Keywords” column displays the total number of unique keywords associated with each Course Outcome.

3. The “Associated POs, Keywords, and Keyword Count for each PO” column lists the associated Program Outcomes along with their corresponding keywords and the count of keywords associated with each Program Outcome for a specific Course Outcome.

Finally we get the CO-PO mapping using the ChatGPT prompt below:

The output form ChatGPT may look like this (The structure and table will remain same the text may change based on previous chat history)

Below is the table of CO-PO mapping using the mapping level values:

 PO 1PO 2PO 3PO 4PO 5PO 6PO 7PO 8PO 9PO 10PO 11PO 12
CO 1300210100000
CO 2200010000000
CO 3200003100000
CO 4020300020120
CO 5020030102001

Note:

– The values in the table represent the mapping level for each CO with respect to each PO.

– The mapping levels are represented as follows:

  – 3: Highly Mapped

  – 2: Moderately Mapped

  – 1: Low Mapped

  – 0: Not Mapped

– For each CO, there are 3-4 POs with different mapping values based on the calculated map_val as described in the previous step.

With ChatGPT’s guidance, you can refine and adapt these COs to meet the specific needs of your course and program, ensuring a seamless CO-PO mapping process.

चैटजीपीटी के मार्गदर्शन के साथ, आप इन सीओ को और भी परिष्कृत और अनुकूलित करके अपने पाठ्यक्रम और प्रोग्राम की विशेष आवश्यकताओं को पूरा करने के लिए सुनिश्चित कर सकते हैं, जिससे एक संसादीय सीओ-पीओ मैपिंग प्रक्रिया होती है।

Section 5: ChatGPT Prompt for CO-PO Mapping – Example 2 / सीओ-पीओ मैपिंग के लिए चैटजीपीटी प्रॉम्प्ट – उदाहरण 2

In another example, let’s consider a the course “INTRODUCTION TO DATA SCIENCE” of I semester b. Tech. CSE branch. You want to create COs that align perfectly with the program’s POs and are well-defined for assessment. Using ChatGPT, you can generate prompts like:

(Use the ChatGPT Prompt to obtain the COs based on Bloom’s taxonomy)

ChatGPT response:

The output form ChatGPT may look like this (The structure and table will remain same the text may change based on previous chat history)

Unit NumberCourse OutcomeBloom’s Taxonomy Level
Unit – IAfter the completion of this unit, students will be able to: Understand the concept and evolution of Data Science, identify different roles in Data Science projects, explain the stages involved in a Data Science project, and recognize applications of Data Science in various fields.Remembering
Unit – IIAfter the completion of this unit, students will be able to: Explain different data collection strategies, perform data pre-processing tasks such as data cleaning, integration, transformation, reduction, and discretization.Understanding
Unit – IIIAfter the completion of this unit, students will be able to: Apply descriptive statistics to analyze data, create box plots and heat maps, calculate correlation statistics and perform ANOVA to draw meaningful insights from the data.Applying
Unit – IVAfter the completion of this unit, students will be able to: Develop regression models, evaluate model performance using visualization techniques, interpret residual plot distribution, implement polynomial regression and pipelines, and make predictions based on the models.Analyzing
Unit – VAfter the completion of this unit, students will be able to: Understand and calculate generalization error, perform out-of-sample evaluation using various metrics, apply cross-validation for model assessment, identify and handle overfitting and underfitting issues, and utilize ridge regression and grid search for parameter testing.Evaluating

After the completion of the course, the students will be able to:

CO1: Understand the concept and evolution of Data Science, identify different roles in Data Science projects, explain the stages involved in a Data Science project, and recognize applications of Data Science in various fields (Remembering).

CO2: Explain different data collection strategies, perform data pre-processing tasks such as data cleaning, integration, transformation, reduction, and discretization (Understanding).

CO3: Apply descriptive statistics to analyze data, create box plots and heat maps, calculate correlation statistics and perform ANOVA to draw meaningful insights from the data (Applying).

CO4: Develop regression models, evaluate model performance using visualization techniques, interpret residual plot distribution, implement polynomial regression and pipelines, and make predictions based on the models (Analyzing).

CO5: Understand and calculate generalization error, perform out-of-sample evaluation using various metrics, apply cross-validation for model assessment, identify and handle overfitting and underfitting issues, and utilize ridge regression and grid search for parameter testing (Evaluating).

After Obtaining the course outcomes, we shall try to kind the keywords that align with program outcomes. For this use the sample prompt given below (change the Cos in prompt based on the previous ChatGPT response):

The output form ChatGPT may look like this (The structure and table will remain same the text may change based on previous chat history)

ChatGPT response:

Sure, let’s associate the keywords from each Program Outcome (PO) with the Course Outcomes (CO) and create a table accordingly:

COKeywords from POTotal KeywordsAssociated POs, Keywords and keyword count for each PO
CO1Evolution, Roles, Stages, Applications4PO01: Evolution (1), PO01: Application (1), PO01: Engineering specialization (1), PO06: Societal impact (1)
CO2Data collection, Data pre-processing2PO01: Technical knowledge (1), PO02: Analytical skills (1)
CO3Descriptive statistics, Box plots, Heat Map3PO02: Analytical skills (1), PO02: Technical analysis (1), PO03: Design process (1)
CO4Regression, Model evaluation, Prediction3PO02: Analytical skills (1), PO03: Design principles (1), PO04: Mathematical modeling (1)
CO5Generalization error, Cross-validation2PO04: Technical evaluation (1), PO09: Communication skills (1)

Note: The numbers in parentheses represent the count of keywords from each PO that are associated with the corresponding CO.

Please keep in mind that the association of keywords with course outcomes is subjective and may vary based on the specific context and content of the course. The table above is a representation based on the keywords provided for each Program Outcome and their relevance to the Course Outcomes.

Finally we get the CO-PO mapping using the ChatGPT prompt below:

The output form ChatGPT may look like this (The structure and table will remain same the text may change based on previous chat history)

ChatGPT response:

Let’s calculate the mapping levels for each CO-PO combination and create the table accordingly:

Mapping levels:

– Highly mapped (3): map_val >= 0.75

– Moderately mapped (2): 0.50 <= map_val < 0.75

– Low mapped (1): 0.25 <= map_val < 0.50

– Not mapped (0): map_val < 0.25

Here’s the table of CO-PO mapping:

 PO 1PO 2PO 3PO 4PO 5PO 6PO 7PO 8PO 9PO 10PO 11PO 12
CO1210203010000
CO2030000013000
CO3031000001000
CO4023100000000
CO5000000303100

Explanation:

– CO1 is highly mapped to PO6, moderately mapped to PO2, and low mapped to PO4.

– CO2 is highly mapped to PO2, moderately mapped to PO9, and low mapped to PO8.

– CO3 is highly mapped to PO2, moderately mapped to PO9, and low mapped to PO3.

– CO4 is highly mapped to PO3, moderately mapped to PO2, and low mapped to PO4.

– CO5 is highly mapped to PO7, moderately mapped to PO9, and low mapped to PO10.

Please note that the mapping levels are calculated based on the formula provided, using the keywords associated with each CO and PO as specified earlier. The values in the table represent the mapping level for each CO-PO combination, where 3 means highly mapped, 2 means moderately mapped, 1 means low mapped, and 0 means not mapped.

By leveraging ChatGPT, you can fine-tune these COs and ensure they accurately reflect the objectives of your course and program, creating a cohesive CO-PO mapping strategy.

चैटजीपीटी के उपयोग से, आप इन सीओ को और भी समृद्ध करके सुनिश्चित कर सकते हैं कि आपके पाठ्यक्रम और प्रोग्राम के उद्देश्यों को सही रूप से प्रतिबिंबित करते हैं, जिससे एक संगठित सीओ-पीओ मैपिंग रणनीति बनती है।

Section 6: Conclusion / निष्कर्ष

In conclusion, CO-PO mapping is an essential process for educators to design effective courses and ensure alignment with program objectives. By using ChatGPT’s powerful prompts, educators can create well-defined, relevant, and measurable Course Outcomes that contribute to overall program achievements. Embrace the power of ChatGPT to enhance curricula, empower learners, and achieve educational excellence.

समाप्ति में, सीओ-पीओ मैपिंग शिक्षकों के लिए एक महत्वपूर्ण प्रक्रिया है जो उचित पाठ्यक्रमों को डिज़ाइन करने और प्रोग्राम के उद्देश्यों के साथ मेल खाने में सहायक होती है। चैटजीपीटी के शक्तिशाली प्रोम्प्स का उपयोग करके, शिक्षक विशिष्ट, संबंधित, और मापनीय सीओ बना सकते हैं जो समग्र पाठ्यक्रम की प्राप्तियों में योगदान करते हैं। चैटजीपीटी की शक्ति को ग्रहण करें और पाठ्यक्रमों को सुधारें, शिक्षार्थियों को सशक्त करें, और शिक्षा में उत्कृष्टता प्राप्त करें।

Dr. Honey Durgaprasad Tiwari, both the CTO at INKOR Technologies Private Limited, India, and a dedicated academic researcher, brings a wealth of expertise. With a Post-Doctoral stint at Sungkyunkwan University, Ph.D. in Electronic, Information and Communication Engineering from Konkuk University, Seoul, South Korea, and M.Tech in Embedded Electronic Systems from VNIT Nagpur, his research legacy spans wireless power transfer, medical imaging, and FPGA innovation. Notably, he has authored 40+ SCI papers, conference contributions, and patents, leaving an indelible mark on these fields. Holding pivotal Academic Administrative roles, including Head of Department and IQAC Coordinator, he passionately channels his insights into concise and impactful blogs, enriching the tech discourse. 🚀🔬📚

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CO-PO Mapping with ChatGPT: Enhancing Curricula in…

by Dr. Honey Durgaprasad Tiwari time to read: 21 min
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