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| | {{NoticeBox|sections=Indicators Sheet}} |
| {{Task | | {{Task |
| |Number=4 | | |Number=4 |
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| |Impact SA=Communities building | | |Impact SA=Communities building |
| }} | | }} |
| {{#default_form:Test}}
| | = Objectives = |
| {{TestTemplate | | This Task aims at gradually making seamless and embedded mobility both for students and academic and support staff a structural feature at all levels through a series of targeted and measurable joint mobility actions. We will align and evolve strategies to support physical, blended mobility or virtual learning. The Task builds on the achievements of UNITA phase one, aiming at a significant increase of physical, blended, and virtual mobilities within the alliance. Difficulties in phase one were the precarious conditions of IT management tools, the different academic timetables, lack of information, limited financial support and academic recognition. The Task team will work at partner and alliance level to implement and test the mobility actions in a step-by-step approach, supporting mobility in general with a particular emphasis on intra-alliance and rural mobility, working towards a 50% target set for 2030. |
| | |
| | = Inputs / Resources = |
| | * '''Human Resources:''' List of staff on the task, roles and position: Co-leaders Oana Ivan-Horobet UVT and María Villarroya UNIZAR + 41 TT members |
| | * '''Financial:''' Budget allocated to the task: 479,400 € |
| | * '''Materials:''' Type of materials required (computers, software, scientific tools …): UNITA Datacloud, UNITA Virtual Campus, they need good catalogues for track mobilities (BIP, rural, etc.), the app used by different institutions to accept/manage mobilities, Rural Mobility and the local partners agreements, Excel files with the offers, Course catalogues for mobilities, Course catalogues for Rural Mob, BIPS, Each university use app tools, the need applications and tools to work much more easy than now, data base, centralised files, common tools |
| | |Intangible=Type of intangible materials (communication tools, data bases …): UNITA Datacloud, UNITA Virtual Campus, communications, monitoring the mobility, measuring satisfaction, not lose information in the process |
| | * '''Intangible:''' Type of intangible materials (communication tools, data bases …): UNITA Datacloud, UNITA Virtual Campus, communications, monitoring the mobility, measuring satisfaction, not lose information in the process |
| | <!--{{TestTemplate |
| |Objectives=This Task aims at gradually making seamless and embedded mobility both for students and academic and support staff a structural feature at all levels through a series of targeted and measurable joint mobility actions. We will align and evolve strategies to support physical, blended mobility or virtual learning. The Task builds on the achievements of UNITA phase one, aiming at a significant increase of physical, blended, and virtual mobilities within the alliance. Difficulties in phase one were the precarious conditions of IT management tools, the different academic timetables, lack of information, limited financial support and academic recognition. The Task team will work at partner and alliance level to implement and test the mobility actions in a step-by-step approach, supporting mobility in general with a particular emphasis on intra-alliance and rural mobility, working towards a 50% target set for 2030. | | |Objectives=This Task aims at gradually making seamless and embedded mobility both for students and academic and support staff a structural feature at all levels through a series of targeted and measurable joint mobility actions. We will align and evolve strategies to support physical, blended mobility or virtual learning. The Task builds on the achievements of UNITA phase one, aiming at a significant increase of physical, blended, and virtual mobilities within the alliance. Difficulties in phase one were the precarious conditions of IT management tools, the different academic timetables, lack of information, limited financial support and academic recognition. The Task team will work at partner and alliance level to implement and test the mobility actions in a step-by-step approach, supporting mobility in general with a particular emphasis on intra-alliance and rural mobility, working towards a 50% target set for 2030. |
| * Realise seamless mobility opportunities for students and staff by embedding mobility as a structural feature at all levels of the alliance, with a particular emphasis on intra-alliance and rural mobility. | | * Realise seamless mobility opportunities for students and staff by embedding mobility as a structural feature at all levels of the alliance, with a particular emphasis on intra-alliance and rural mobility. |
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| |Intangible=Type of intangible materials (communication tools, data bases …): UNITA Datacloud, UNITA Virtual Campus, communications, monitoring the mobility, measuring satisfaction, not lose information in the process | | |Intangible=Type of intangible materials (communication tools, data bases …): UNITA Datacloud, UNITA Virtual Campus, communications, monitoring the mobility, measuring satisfaction, not lose information in the process |
| |InputsResources=Type of materials required (computers, software, scientific tools …): UNITA Datacloud, UNITA Virtual Campus, they need good catalogues for track mobilities (BIP, rural, etc.), the app used by different institutions to accept/manage mobilities, Rural Mobility and the local partners agreements, Excel files with the offers, Course catalogues for mobilities, Course catalogues for Rural Mob, BIPS, Each university use app tools, the need applications and tools to work much more easy than now, data base, centralised files, common tools | | |InputsResources=Type of materials required (computers, software, scientific tools …): UNITA Datacloud, UNITA Virtual Campus, they need good catalogues for track mobilities (BIP, rural, etc.), the app used by different institutions to accept/manage mobilities, Rural Mobility and the local partners agreements, Excel files with the offers, Course catalogues for mobilities, Course catalogues for Rural Mob, BIPS, Each university use app tools, the need applications and tools to work much more easy than now, data base, centralised files, common tools |
| }} | | }}--> |
| =Activities / Subtasks= | | =Activities / Subtasks= |
| {| class="wikitable" style="width:100%;" | | {| class="wikitable" style="width:100%;" |
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| | (M24-M48) 10.2027 | | | (M24-M48) 10.2027 |
| |} | | |} |
| = Outputs (Task Level) = | | |
| | = Indicators' definitions = |
| | == Outputs (Task Level) == |
| {| class="wikitable" style="width:100%;" | | {| class="wikitable" style="width:100%;" |
| ! Primary Indicator (included in the proposal) | | ! Primary Indicator (included in the proposal) |
| ! Secondary Indicator | | ! Secondary Indicator |
| |-
| |
| ! colspan="2" | To be defined by T5.4 members previously to interviews and to be proposed to task co leaders
| |
| |- | | |- |
| | '''Ind. 2.4.a''' Average percentage among partners of graduates at bachelor, master and doctorate level who have completed an international mobility within UNITA<br /> | | | '''Ind. 2.4.a''' Average percentage among partners of graduates at bachelor, master and doctorate level who have completed an international mobility within UNITA<br /> |
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| * Number of staff training/international weeks organised for staff | | * Number of staff training/international weeks organised for staff |
| |} | | |} |
| | |
|
| |
|
| {| class="wikitable" style="width:100%;" | | {| class="wikitable" style="width:100%;" |
| | |+Expected results at the sub-task level |
| | |- |
| ! Indicate concerned sub task | | ! Indicate concerned sub task |
| ! Outputs indicator | | ! Outputs indicator |
| ! Source of data | | ! Source of data |
| |-
| |
| ! colspan="3" | Expected results at the sub-task level / To be verified in interview with task co-leaders
| |
| |- | | |- |
| | '''A2.4.1 Define an alliance mobility strategy and action plan''' | | | '''A2.4.1 Define an alliance mobility strategy and action plan''' |
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| |} | | |} |
|
| |
|
| = Outcome (Task Level) = | | == Outcome (Task Level) == |
| {| class="wikitable" style="width:100%;" | | {| class="wikitable" style="width:100%;" |
| |+ Task Outcomes | | |+ Task Outcomes |
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| |} | | |} |
|
| |
|
| = Impacts (UNITA and Societal Level) = | | == Impacts (UNITA and Societal Level) == |
| {| class="wikitable" style="width:100%;" | | {| class="wikitable" style="width:100%;" |
| ! Users / Beneficiaries Intern to UNITA | | ! Users / Beneficiaries Intern to UNITA |
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| |} | | |} |
|
| |
|
| | = Indicators sheet= |
| | |
| | {| class="wikitable" style="font-weight:bold;" |
| | |- |
| | ! Description |
| | | |
| | |- |
| | ! Unit of measurement |
| | | |
| | |- |
| | ! Source of data |
| | | |
| | |- |
| | ! Frequency |
| | | |
| | |- |
| | ! Baseline (2022) |
| | | |
| | |- |
| | ! Target 2027 |
| | | |
| | |- |
| | ! Possible sub indicators |
| | | |
| | |} |
|
| |
|
| {{IndicatorSheet | | <!--{{IndicatorSheet |
| |Description=n/a | | |Description=n/a |
| |Unit=n/a | | |Unit=n/a |
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| |AutomaticCollection=n/a | | |AutomaticCollection=n/a |
| |AdditionalNotes=n/a | | |AdditionalNotes=n/a |
| }} | | }}--> |
|
| |
|
| = Indicators Visualization = | | = Indicators Visualization = |
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| ==Description== | | ==Description== |
| The first graph illustrates student mobility by categorizing events into various types such as [[BIP-student mobility for studies]], [[SMS-student mobility for studies]], and [[SMT-student mobility for traineeship]]. It further breaks down participation by degree level—''Bachelor'', ''Master'', ''Doctorate''—and includes student assembly membership. In contrast, the second graph focuses on academic mobility, organizing events like [[Governance Board meeting]], [[Matching Event (Research, Education etc)]], and staff mobility for teaching and training. Participation is broken down by roles such as ''Staff academic'', ''Staff administrative'', ''Researcher'', and ''Not defined''. Together, these visualizations provide a clear comparative view of how students and academics engage in different mobility activities within the institution. | | The first graph illustrates student mobility by categorizing events into various types such as [[BIP-student mobility for studies]], [[SMS-student mobility for studies]], and [[SMT-student mobility for traineeship]]. It further breaks down participation by degree level—''Bachelor'', ''Master'', ''Doctorate''—and includes student assembly membership. In contrast, the second graph focuses on academic mobility, organizing events like [[Governance Board meeting]], [[Matching Event (Research, Education etc)]], and staff mobility for teaching and training. Participation is broken down by roles such as ''Staff academic'', ''Staff administrative'', ''Researcher'', and ''Not defined''. Together, these visualizations provide a clear comparative view of how students and academics engage in different mobility activities within the institution. |
| | | ===Total Amount of Participants=== |
| {{#tag:tabber | | {{#tag:tabber |
| | Students= | | | Students= |
| {{#echarts: | | {{#echarts: |
| width=1000px | | | width=1000px | |
| height=750px | | | height=600px | |
| option = { | | option = { |
| legend: {}, | | legend: {}, |
| tooltip: {}, | | tooltip: { |
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| | } |
| | }, |
| | toolbox: { |
| | orient: 'vertical', |
| | left: 'auto', |
| | feature: { |
| | magicType: { |
| | type: ['stack'] |
| | }, |
| | saveAsImage: {}, |
| | } |
| | }, |
| dataset: { | | dataset: { |
| source: {{#var:t241student}} | | source: {{#var:t241student}} |
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| {{#echarts: | | {{#echarts: |
| width=1000px | | | width=1000px | |
| height=750px | | | height=600px | |
| option = { | | option = { |
| legend: {}, | | legend: {}, |
| tooltip: {}, | | tooltip: { |
| | trigger: 'axis', |
| | axisPointer: { |
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| | } |
| | }, |
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| | left: 'auto', |
| | feature: { |
| | magicType: { |
| | type: ['stack'] |
| | }, |
| | saveAsImage: {}, |
| | } |
| | }, |
| dataset: { | | dataset: { |
| source: {{#var:t241academics}} | | source: {{#var:t241academics}} |
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| }} | | }} |
|
| |
|
| | ===Student Participants per Month=== |
| | {{#tag:tabber |
| | | BIP-student mobility for studies= |
| {{#echarts: | | {{#echarts: |
| width=1000px | | | width=1000px | |
| height=750px | | | height=600px | |
| option = { | | option = { |
| "tooltip": { | | tooltip: { |
| "trigger": "axis" | | trigger: 'axis', |
| | axisPointer: { |
| | type: 'shadow' |
| | } |
| | }, |
| | toolbox: { |
| | orient: 'vertical', |
| | left: 'auto', |
| | feature: { |
| | magicType: { |
| | type: ["line", "bar","stack"] |
| | }, |
| | saveAsImage: {}, |
| | } |
| | }, |
| | legend: { |
| | data: ['Student bachelor', 'Student master', 'Student doctorate'] |
| | }, |
| | grid: { |
| | left: '3%', |
| | right: '4%', |
| | bottom: '3%', |
| | containLabel: true |
| | }, |
| | dataset: { |
| | source: {{#var:t241dateDataBIP}} |
| | }, |
| | xAxis: { |
| | type: 'category' |
| | }, |
| | yAxis: { |
| | type: 'value' |
| | }, |
| | series: [ |
| | { |
| | type: 'bar', |
| | stack: 'total', |
| | emphasis: { focus: 'series' } |
| | }, |
| | { |
| | type: 'bar', |
| | stack: 'total', |
| | emphasis: { focus: 'series' } |
| | }, |
| | { |
| | type: 'bar', |
| | stack: 'total', |
| | emphasis: { focus: 'series' } |
| | } |
| | ] |
| | } |
| | }} |
| | {{!}}-{{!}} SMS-student mobility for studies= |
| | {{#echarts: |
| | width=1000px | |
| | height=600px | |
| | option = { |
| | tooltip: { |
| | trigger: 'axis', |
| | axisPointer: { |
| | type: 'shadow' |
| | } |
| | }, |
| | toolbox: { |
| | orient: 'vertical', |
| | left: 'auto', |
| | feature: { |
| | magicType: { |
| | type: ["line", "bar","stack"] |
| | }, |
| | saveAsImage: {}, |
| | } |
| | }, |
| | legend: { |
| | data: ['Student bachelor', 'Student master', 'Student doctorate'] |
| | }, |
| | grid: { |
| | left: '3%', |
| | right: '4%', |
| | bottom: '3%', |
| | containLabel: true |
| | }, |
| | dataset: { |
| | source: {{#var:t241dateDataSMS}} |
| | }, |
| | xAxis: { |
| | type: 'category' |
| | }, |
| | yAxis: { |
| | type: 'value' |
| | }, |
| | series: [ |
| | { |
| | type: 'bar', |
| | stack: 'total', |
| | emphasis: { focus: 'series' } |
| | }, |
| | { |
| | type: 'bar', |
| | stack: 'total', |
| | emphasis: { focus: 'series' } |
| | }, |
| | { |
| | type: 'bar', |
| | stack: 'total', |
| | emphasis: { focus: 'series' } |
| | } |
| | ] |
| | } |
| | }} |
| | {{!}}-{{!}} SMT-student mobility for traineeship= |
| | {{#echarts: |
| | width=1000px | |
| | height=600px | |
| | option = { |
| | tooltip: { |
| | trigger: 'axis', |
| | axisPointer: { |
| | type: 'shadow' |
| | } |
| | }, |
| | toolbox: { |
| | orient: 'vertical', |
| | left: 'auto', |
| | feature: { |
| | magicType: { |
| | type: ["line", "bar","stack"] |
| | }, |
| | saveAsImage: {}, |
| | } |
| | }, |
| | legend: { |
| | data: ['Student bachelor', 'Student master', 'Student doctorate'] |
| | }, |
| | grid: { |
| | left: '3%', |
| | right: '4%', |
| | bottom: '3%', |
| | containLabel: true |
| | }, |
| | dataset: { |
| | source: {{#var:t241dateDataSMT}} |
| | }, |
| | xAxis: { |
| | type: 'category' |
| | }, |
| | yAxis: { |
| | type: 'value' |
| }, | | }, |
| "title": { | | series: [ |
| "left": "center", | | { |
| "text": "BIP-student mobility for studies - Student Bachelor" | | type: 'bar', |
| | stack: 'total', |
| | emphasis: { focus: 'series' } |
| | }, |
| | { |
| | type: 'bar', |
| | stack: 'total', |
| | emphasis: { focus: 'series' } |
| | }, |
| | { |
| | type: 'bar', |
| | stack: 'total', |
| | emphasis: { focus: 'series' } |
| | } |
| | ] |
| | } |
| | }} |
| | }} |
| | ===Academic Participants per Month=== |
| | {{#tag:tabber |
| | | Governance Board meeting= |
| | {{#echarts: |
| | width=1000px | |
| | height=600px | |
| | option = { |
| | tooltip: { |
| | trigger: 'axis', |
| | axisPointer: { |
| | type: 'shadow' |
| | } |
| }, | | }, |
| "toolbox": { | | toolbox: { |
| "feature": { | | orient: 'vertical', |
| "dataZoom": { | | left: 'auto', |
| "yAxisIndex": "none" | | feature: { |
| | magicType: { |
| | type: ["line", "bar","stack"] |
| }, | | }, |
| "restore": {}, | | saveAsImage: {}, |
| "saveAsImage": {}
| |
| } | | } |
| }, | | }, |
| "xAxis": { | | legend: { |
| "type": "category", | | data: ['Staff academic', 'Staff administrative', 'Researcher'] |
| "boundaryGap": false, | | }, |
| "data": ["2020/01/01", "2020/06/01", "2021/01/01", "2021/06/01", "2022/01/01", "2022/06/01", "2023/01/01", "2023/06/01", "2024/01/01", "2024/06/01", "2025/01/01"] | | grid: { |
| | left: '3%', |
| | right: '4%', |
| | bottom: '3%', |
| | containLabel: true |
| | }, |
| | dataset: { |
| | source: {{#var:t241dateDataG}} |
| | }, |
| | xAxis: { |
| | type: 'category' |
| }, | | }, |
| "yAxis": { | | yAxis: { |
| "type": "value", | | type: 'value' |
| "boundaryGap": [0, "100%"]
| |
| }, | | }, |
| "dataZoom": [ | | series: [ |
| { | | { |
| "type": "inside", | | type: 'bar', |
| "start": 0, | | stack: 'total', |
| "end": 50 | | emphasis: { focus: 'series' } |
| }, | | }, |
| { | | { |
| "start": 0, | | type: 'bar', |
| "end": 50 | | stack: 'total', |
| | emphasis: { focus: 'series' } |
| | }, |
| | { |
| | type: 'bar', |
| | stack: 'total', |
| | emphasis: { focus: 'series' } |
| } | | } |
| ], | | ] |
| "series": [ | | } |
| | }} |
| | {{!}}-{{!}} Matching Event (Research, Education etc)= |
| | {{#echarts: |
| | width=1000px | |
| | height=600px | |
| | option = { |
| | tooltip: { |
| | trigger: 'axis', |
| | axisPointer: { |
| | type: 'shadow' |
| | } |
| | }, |
| | toolbox: { |
| | orient: 'vertical', |
| | left: 'auto', |
| | feature: { |
| | magicType: { |
| | type: ["line", "bar","stack"] |
| | }, |
| | saveAsImage: {}, |
| | } |
| | }, |
| | legend: { |
| | data: ['Staff academic', 'Staff administrative', 'Researcher'] |
| | }, |
| | grid: { |
| | left: '3%', |
| | right: '4%', |
| | bottom: '3%', |
| | containLabel: true |
| | }, |
| | dataset: { |
| | source: {{#var:t241dateDataME}} |
| | }, |
| | xAxis: { |
| | type: 'category' |
| | }, |
| | yAxis: { |
| | type: 'value' |
| | }, |
| | series: [ |
| { | | { |
| "name": "Participants", | | type: 'bar', |
| "type": "line", | | stack: 'total', |
| "symbol": "none", | | emphasis: { focus: 'series' } |
| "sampling": "lttb", | | }, |
| "itemStyle": { | | { |
| "color": "rgb(255, 70, 131)" | | type: 'bar', |
| | stack: 'total', |
| | emphasis: { focus: 'series' } |
| | }, |
| | { |
| | type: 'bar', |
| | stack: 'total', |
| | emphasis: { focus: 'series' } |
| | } |
| | ] |
| | } |
| | }} |
| | {{!}}-{{!}} STA-staff mobility for teaching= |
| | {{#echarts: |
| | width=1000px | |
| | height=600px | |
| | option = { |
| | tooltip: { |
| | trigger: 'axis', |
| | axisPointer: { |
| | type: 'shadow' |
| | } |
| | }, |
| | toolbox: { |
| | orient: 'vertical', |
| | left: 'auto', |
| | feature: { |
| | magicType: { |
| | type: ["line", "bar","stack"] |
| }, | | }, |
| "areaStyle": { | | saveAsImage: {}, |
| "color": {
| | } |
| "type": "linear",
| | }, |
| "x": 0,
| | legend: { |
| "y": 0,
| | data: ['Staff academic', 'Staff administrative', 'Researcher'] |
| "x2": 0,
| | }, |
| "y2": 1,
| | grid: { |
| "colorStops": [
| | left: '3%', |
| { "offset": 0, "color": "rgb(173,216,230)" },
| | right: '4%', |
| { "offset": 1, "color": "rgb(0,0,139)" }
| | bottom: '3%', |
| ],
| | containLabel: true |
| "global": false
| | }, |
| } | | dataset: { |
| | source: {{#var:t241dateDataSTA}} |
| | }, |
| | xAxis: { |
| | type: 'category' |
| | }, |
| | yAxis: { |
| | type: 'value' |
| | }, |
| | series: [ |
| | { |
| | type: 'bar', |
| | stack: 'total', |
| | emphasis: { focus: 'series' } |
| | }, |
| | { |
| | type: 'bar', |
| | stack: 'total', |
| | emphasis: { focus: 'series' } |
| | }, |
| | { |
| | type: 'bar', |
| | stack: 'total', |
| | emphasis: { focus: 'series' } |
| | } |
| | ] |
| | } |
| | }} |
| | {{!}}-{{!}} STT-staff mobility for training= |
| | {{#echarts: |
| | width=1000px | |
| | height=600px | |
| | option = { |
| | tooltip: { |
| | trigger: 'axis', |
| | axisPointer: { |
| | type: 'shadow' |
| | } |
| | }, |
| | toolbox: { |
| | orient: 'vertical', |
| | left: 'auto', |
| | feature: { |
| | magicType: { |
| | type: ["line", "bar","stack"] |
| }, | | }, |
| "data": [120, 132, 101, 134, 90, 120, 160, 200, 180, 250, 230] | | saveAsImage: {}, |
| | } |
| | }, |
| | legend: { |
| | data: ['Staff academic', 'Staff administrative', 'Researcher'] |
| | }, |
| | grid: { |
| | left: '3%', |
| | right: '4%', |
| | bottom: '3%', |
| | containLabel: true |
| | }, |
| | dataset: { |
| | source: {{#var:t241dateDataSTT}} |
| | }, |
| | xAxis: { |
| | type: 'category' |
| | }, |
| | yAxis: { |
| | type: 'value' |
| | }, |
| | series: [ |
| | { |
| | type: 'bar', |
| | stack: 'total', |
| | emphasis: { focus: 'series' } |
| | }, |
| | { |
| | type: 'bar', |
| | stack: 'total', |
| | emphasis: { focus: 'series' } |
| | }, |
| | { |
| | type: 'bar', |
| | stack: 'total', |
| | emphasis: { focus: 'series' } |
| } | | } |
| ] | | ] |
| } | | } |
| | }} |
| }} | | }} |